Conferences related to Lesions

Back to Top

2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)

The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.


2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)

Computational analysis and interpretation of images and video


2018 IEEE Statistical Signal Processing Workshop (SSP)

SSP 2018 is the 20th in a series of unique meetings that bring members of the IEEE Signal Processing Society together with researchers from allied fields such as bioinformatics, communications, machine learning, and statistics. The scope of the workshop includes basic theory, methods and algorithms, and applications. SSP is a single-track workshop that includes invited talks, demonstrations and oral and poster presentations of refereed papers.


2017 25th Signal Processing and Communications Applications Conference (SIU)

Signal Processing and Communication Applications (SIU) conference is the most prominent scientific meeting on signal processing in Turkey bringing together researchers working in signal processing and communication fields. Topics include but are not limited to the areas of research listed in the keywords.

  • 2016 24th Signal Processing and Communication Application Conference (SIU)

    Signal Processing Theory, Statistical Signal Processing, Nonlinear Signal Processing, Adaptive Signal Processing, Array and Multichannel Signal Processing, Signal Processing for Sensor Networks, Time-Frequency Analysis, Speech / Voice Processing and Recognition, Computer Vision, Pattern Recognition, Machine Learning for Signal Processing, Human-Machine Interaction, Brain-Computer Interaction, Signal-Image Acquisition and Generation, image Processing, video Processing, Image Printing and Presentation, Image / Video / Audio browsing and retrieval, Image / Video / Audio Watermarking, Multimedia Signal Processing, Biomedical Signal Processing and Image Processing, Bioinformatics, Biometric Signal-Image Processing and Recognition, Signal Processing for Security and Defense, Signal and Image Processing for Remote Sensing, Signal Processing Hardware, Signal Processing Education, Radar Signal Processing, Communication Theory, Communication Networks, Wireless Communications

  • 2015 23th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing Theory Statistical Signal Processing Nonlinear Signal Processing Adaptive Signal Processing Array and Multichannel Signal Processing Signal Processing for Sensor Networks Time-Frequency Analysis Speech / Voice Processing and Recognition Computer Vision Pattern Recognition Machine Learning for Signal Processing Human-Machine Interaction Brain-Computer Interaction Signal-Image Acquisition and Generation image Processing video Processing Image Printing and Presentation Image / Video / Audio browsing and retrieval Image / Video / Audio Watermarking Multimedia Signal Processing Biomedical Signal Processing and Image Processing Bioinformatics Biometric Signal-Image Processing and Recognition Signal Processing for Security and Defense Signal and Image Processing for Remote Sensing Signal Processing Hardware Signal Processing Education Radar Signal Processing Communication Theory Communication Networks Wireless Communications

  • 2014 22nd Signal Processing and Communications Applications Conference (SIU)

    SIU will be held in Trabzon, Turkey at the Karadeniz Technical University Convention and Exhibition Centre on April 23, 2014. SIU is the largest and most comprehensive technical conference focused on signal processing and its applications in Turkey. Last year there were 500 hundred participants. The conference will feature renowned speakers, tutorials, and thematic workshops. Topics include but are not limited to: Signal Procesing, Image Processing, Communication, Computer Vision, Machine Learning, Biomedical Signal Processing,

  • 2013 21st Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2012 20th Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2011 19th Signal Processing and Communications Applications Conference (SIU)

    Conference will bring together academia and industry professionals as well as students and researchers to present and discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. The Conference will also include invited lectures, tutorials and special sessions.

  • 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU)

    S1.Theory of Signal-Processing S2.Statistical Signal-Processing S3.Multimedia Signal-Processing S4.Biomedical Signal-Processing S5.Sensor Networks S6.Multirate Signal-Processing S7.Pattern Recognition S8.Computer Vision S9.Adaptive Filters S10.Image/Video/Speech Browsing, Retrieval S11.Speech/Audio Coding S12.Speech Processing S13.Human-Machine Interfaces S14.Surveillance Signal Processing S15.Bioinformatics S16.Self-Learning S17.Signal-Processing Education S18.Signal-Processing Systems S1

  • 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU)

    The scope of the conference is to cover recent topics in theory and applications of Signal Processing and Communications.

  • 2008 IEEE 16th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing, Image Processing, Speech Processing, Pattern Recognition, Human Computer Interaction, Communication, Video and Speech indexing, Computer Vision, Biomedical Signal Processing

  • 2007 IEEE 15th Signal Processing and Communications Applications (SIU)

  • 2006 IEEE 14th Signal Processing and Communications Applications (SIU)

  • 2005 IEEE 13th Signal Processing and Communications Applications (SIU)

  • 2004 IEEE 12th Signal Processing and Communications Applications (SIU)


2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) in conjunction with International Biomedical Engineering Conference of KOSOMBE will be held at International Convention Center (ICC), Jeju Island, Korea from July 11 to 15, 2017. The overall theme of the conference is “Smarter Technology for Healthier World” and will cover diverse topics of cutting-edge research in biomedical engineering, healthcare technology R&D, translational clinical research, technology transfer and entrepreneurship, and biomedical engineering education. The conference program will feature high-profile keynote lectures, minisymposia, workshops, invited sessions, oral and poster sessions, sessions for students and young professions, sessions for clinicians and entrepreneurs, and exhibitions.


More Conferences

Periodicals related to Lesions

Back to Top

Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


More Periodicals


Xplore Articles related to Lesions

Back to Top

Performance of vibro-acoustography in detecting microcalcifications in excised human breast tissue: a study of 74 tissue samples

A. Alizad; M. Fatemi; L. E. Wold; J. F. Greenleaf IEEE Transactions on Medical Imaging, 2004

X-ray mammography is the principal modality used today for detection of breast microcalcifications and breast lesions associated with breast cancer. X-ray mammography, however, is ionizing and its sensitivity is greatly reduced in dense breasts. Hence, alternative noninvasive and nonionizing breast imaging tools that can aid physicians to better diagnose early-stage breast lesions are of great interest. Vibro-acoustography is a novel ...


Segmentation of Complicated Liver Lesion Based on Local Multiphase Level Set

Zhaohui Luo; Xiaoming Wu; Renjing Cen; Shanxing Ou 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

In this paper, we proposes a local multiphase C-V level set algorithm integrated with multilevel OTSU method for the segmentation of complicated liver lesion. We first construct a local liver lesion image, then pre-segment the lesion with multilevel OTSU method to get the initial contour, finally evolve the active contour with multiphase C-V level set method to get the final ...


Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

Adrien Depeursinge; Camille Kurtz; Christopher Beaulieu; Sandy Napel; Daniel Rubin IEEE Transactions on Medical Imaging, 2014

We describe a framework to model visual semantics of liver lesions in CT images in order to predict the visual semantic terms (VST) reported by radiologists in describing these lesions. Computational models of VST are learned from image data using linear combinations of high-order steerable Riesz wavelets and support vector machines (SVM). In a first step, these models are used ...


Implementing reconstruction with hand-held gamma cameras

I. N. Weinberg; V. Zawarzin; R. Pani; G. De Vincentes 2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149), 2000

Minimally invasive surgery has spurred development of portable nuclear medicine nonimaging detection products. Although these probes function well in simple anatomic regions (e.g., extremities), more complicated regions (e.g., head and neck, axilla) can present surgeons with difficulties due to the presence of overlapping tissue activity. Conventional gamma cameras, with large camera heads, are not ideal for intraoperative applications. Due to ...


Bias field correction of chest thin section CT images

M. Kubo; T. Tozaki; N. Niki; S. Nakagawa; K. Eguchi; M. Kaneko; H. Omatsu; N. Moriyama; N. Yamaguchi Proceedings of International Conference on Image Processing, 1997

Helical computed tomography (CT) is a promising tool for the early diagnosis of lung cancer. The three-dimensional information makes it possible to detect a subtle change in any field of the lung. However, the diagnostic procedure is time-consuming, since a considerable number of images have to be reviewed in one examination. In order to lessen the burden to the reviewing ...


More Xplore Articles

Educational Resources on Lesions

Back to Top

eLearning

Performance of vibro-acoustography in detecting microcalcifications in excised human breast tissue: a study of 74 tissue samples

A. Alizad; M. Fatemi; L. E. Wold; J. F. Greenleaf IEEE Transactions on Medical Imaging, 2004

X-ray mammography is the principal modality used today for detection of breast microcalcifications and breast lesions associated with breast cancer. X-ray mammography, however, is ionizing and its sensitivity is greatly reduced in dense breasts. Hence, alternative noninvasive and nonionizing breast imaging tools that can aid physicians to better diagnose early-stage breast lesions are of great interest. Vibro-acoustography is a novel ...


Segmentation of Complicated Liver Lesion Based on Local Multiphase Level Set

Zhaohui Luo; Xiaoming Wu; Renjing Cen; Shanxing Ou 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

In this paper, we proposes a local multiphase C-V level set algorithm integrated with multilevel OTSU method for the segmentation of complicated liver lesion. We first construct a local liver lesion image, then pre-segment the lesion with multilevel OTSU method to get the initial contour, finally evolve the active contour with multiphase C-V level set method to get the final ...


Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

Adrien Depeursinge; Camille Kurtz; Christopher Beaulieu; Sandy Napel; Daniel Rubin IEEE Transactions on Medical Imaging, 2014

We describe a framework to model visual semantics of liver lesions in CT images in order to predict the visual semantic terms (VST) reported by radiologists in describing these lesions. Computational models of VST are learned from image data using linear combinations of high-order steerable Riesz wavelets and support vector machines (SVM). In a first step, these models are used ...


Implementing reconstruction with hand-held gamma cameras

I. N. Weinberg; V. Zawarzin; R. Pani; G. De Vincentes 2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149), 2000

Minimally invasive surgery has spurred development of portable nuclear medicine nonimaging detection products. Although these probes function well in simple anatomic regions (e.g., extremities), more complicated regions (e.g., head and neck, axilla) can present surgeons with difficulties due to the presence of overlapping tissue activity. Conventional gamma cameras, with large camera heads, are not ideal for intraoperative applications. Due to ...


Bias field correction of chest thin section CT images

M. Kubo; T. Tozaki; N. Niki; S. Nakagawa; K. Eguchi; M. Kaneko; H. Omatsu; N. Moriyama; N. Yamaguchi Proceedings of International Conference on Image Processing, 1997

Helical computed tomography (CT) is a promising tool for the early diagnosis of lung cancer. The three-dimensional information makes it possible to detect a subtle change in any field of the lung. However, the diagnostic procedure is time-consuming, since a considerable number of images have to be reviewed in one examination. In order to lessen the burden to the reviewing ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Lesions"

IEEE-USA E-Books

  • Schemas for Prey-Catching in Frog and Toad

    This paper first outlines the methodology of schema theory (Arbib 1981), which integrates perception and action by decomposing an overall behavior into the interaction of functional, neurally explicable, units called schemas. It offers comparisons with other methodologies from Artificial Intelligence (AI) and Brain Theory (BT), and reviews the RS (Robot Schema) language and the Arbib and House (1987) model of detour behavior in Rana computatrix which associates potential fields with objects -- an attractant for the prey; arepulsor for the fencepost; and a forward field for the toad itself which are then combined to create more complex fields which determine the trajectory of the animal. However, rather than analyze detour behavior here, the remainder of the paper presents a schema-theoretic model for the decision-making mechanisms which control preY: catching behavior in frog and toad; the extension of the work to model predator-avoidance is discussed elsewhere. It thus contributes to Rana computatrix, an evolving set of models of anuran visuomotor coordination (e.g., Arbib 1987). Our new model of prey-catching is rooted in recent experimental data on the behavior of animals with and without brain lesions. These data motivate the model's use of independent processing of the different parameters that define the stimulus position (horizontal eccentricity, elevation and distance). The model, which emphasizes action generated by the concurrent activity of multiple motor schemas rather than the serial activity of such schemas, predict new behaviors for experimental test.

  • RealTime Fuzzy Control of Biomedical Systems

    This chapter contains sections titled: Introduction Common Complexity of Biomedical Systems Ideal for Fuzzy Control Mamdani Fuzzy PI Control of Mean Arterial Pressure in Postsurgical Cardiac Patients Thermal Treatment of Tissue Lesions Fuzzy PD Control of Tissue Temperature during Laser Heating Ultrasound-Guided Fuzzy PD Control of Laser-Tissue Coagulation Summary Notes and References

  • No title

    Fundus images of the retina are color images of the eye taken by specially designed digital cameras. Ophthalmologists rely on fundus images to diagnose various diseases that affect the eye, such as diabetic retinopathy and retinopathy of prematurity. A crucial preliminary step in the analysis of retinal images is the identification and localization of important anatomical structures, such as the optic nerve head (ONH), the macula, and the major vascular arcades. Identification of the ONH is an important initial step in the detection and analysis of the anatomical structures and pathological features in the retina. Different types of retinal pathology may be detected and analyzed via the application of appropriately designed techniques of digital image processing and pattern recognition. Computer-aided analysis of retinal images has the potential to facilitate quantitative and objective analysis of retinal lesions and abnormalities. Accurate identification and localization of retinal f atures and lesions could contribute to improved diagnosis, treatment, and management of retinopathy. This book presents an introduction to diagnostic imaging of the retina and an overview of image processing techniques for ophthalmology. In particular, digital image processing algorithms and pattern analysis techniques for the detection of the ONH are described. In fundus images, the ONH usually appears as a bright region, white or yellow in color, and is indicated as the convergent area of the network of blood vessels. Use of the geometrical and intensity characteristics of the ONH, as well as the property that the ONH represents the location of entrance of the blood vessels and the optic nerve into the retina, is demonstrated in developing the methods. The image processing techniques described in the book include morphological filters for preprocessing fundus images, filters for edge detection, the Hough transform for the detection of lines and circles, Gabor filters to detect the b ood vessels, and phase portrait analysis for the detection of convergent or node- like patterns. Illustrations of application of the methods to fundus images from two publicly available databases are presented, in terms of locating the center and the boundary of the ONH. Methods for quantitative evaluation of the results of detection of the ONH using measures of overlap and free-response receiver operating characteristics are also described. Table of Contents: Introduction / Computer-aided Analysis of Images of the Retina / Detection of Geometrical Patterns / Datasets and Experimental Setup / Detection of the\Optic Nerve Head\Using the Hough Transform / Detection of the\Optic Nerve Head\Using Phase Portraits / Concluding Remarks

  • Speech Production and Perception in Patients with Cerebellar Lesions

    This chapter contains sections titled: Experiment 1, Experiment 2, Experiment 3, Experiment 4, Summary And Conclusions, Notes, References

  • No title

    The identification and interpretation of the signs of breast cancer in mammographic images from screening programs can be very difficult due to the subtle and diversified appearance of breast disease. This book presents new image processing and pattern recognition techniques for computer-aided detection and diagnosis of breast cancer in its various forms. The main goals are: (1) the identification of bilateral asymmetry as an early sign of breast disease which is not detectable by other existing approaches; and (2) the detection and classification of masses and regions of architectural distortion, as benign lesions or malignant tumors, in a unified framework that does not require accurate extraction of the contours of the lesions. The innovative aspects of the work include the design and validation of landmarking algorithms, automatic Tabar masking procedures, and various feature descriptors for quantification of similarity and for contour independent classification of mammograp ic lesions. Characterization of breast tissue patterns is achieved by means of multidirectional Gabor filters. For the classification tasks, pattern recognition strategies, including Fisher linear discriminant analysis, Bayesian classifiers, support vector machines, and neural networks are applied using automatic selection of features and cross-validation techniques. Computer-aided detection of bilateral asymmetry resulted in accuracy up to 0.94, with sensitivity and specificity of 1 and 0.88, respectively. Computer-aided diagnosis of automatically detected lesions provided sensitivity of detection of malignant tumors in the range of [0.70, 0.81] at a range of falsely detected tumors of [0.82, 3.47] per image. The techniques presented in this work are effective in detecting and characterizing various mammographic signs of breast disease.

  • Applications in Proctology and Obstetrics

    This chapter focuses on the anal sphincter, puborectalis (PR) muscle and fecal incontinence resulting from their iatrogenic lesions. The PR and the anal sphincter muscles provide fecal continence. The PR is shaped like a sling with both sides attached to the pubic bone. The anal sphincter comprises an internal involuntary smooth muscle layer (IAS) and an external voluntary striated muscle layer (EAS). The innervation of the EAS may be affected by the mode of child delivery. The chapter deals with minimally invasive electromyography (EMG) detection systems based on intra-anal probes. An important difference between the EAS and the skeletal muscles concerns the concept of interelectrode distance and muscle fiber conduction velocity. Recent data suggest that either natural or iatrogenic asymmetry of innervation of the EAS may contribute to the occurrence and severity of incontinence symptoms resulting from aging or pelvic floor trauma, in particular after child delivery.

  • Localization of Function in Neurocontrollers

    This paper presents the Functional Contribution Algorithm (FCA) that addresses the fundamental challenge of localizing functions in artificial and natural neural networks. The FCA is based on an assignment of contribution values to the elements of the network, such that the ability to predict the network's performance in response to multi-lesions is maximized. The algorithm is thoroughly examined on evolved neurocontrollers, which are simple enough, but not too simple. We demonstrate that the FCA portrays a stable set of contributions and accurate multi-lesion predictions, which are significantly better than those obtained based on the classical single-lesion approach. Our results demonstrate the potential of the FCA to provide insights into the organization of both animat and animate nervous systems



Standards related to Lesions

Back to Top

No standards are currently tagged "Lesions"


Jobs related to Lesions

Back to Top