Medical diagnosis

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Medical diagnosis refers to the process of attempting to determine and/or identify a possible disease or disorder and the opinion reached by this process. (Wikipedia.org)






Conferences related to Medical diagnosis

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2018 14th International Workshop on Discrete Event Systems (WODES)

The interdisciplinary field of Discrete Event Systems (DES) combines different formalisms, methodologies and tools from control, computer science and operations research. The research activity in this field is driven by the needs of many different applications domains: manufacturing, process control, supervisory systems, software engineering, transportation, and so on. Discrete Event Systems is now a mature field and many interesting applications have been developed. This 14th International Workshop on Discrete Event Systems will be hosted at Hotel Stabiae Sorrento Coast, Sorrento Coast, Italy. It aims to provide researchers from different fields (control theoreticians and control engineers, software engineers and computer scientists, operations research specialists) with an opportunity to exchange information and new ideas, and to discuss new developments in the field of DES theory and applications.


2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 26th Signal Processing and Communications Applications Conference (SIU)

The general scope of the conference ranges from signal and image processing to telecommunication, and applications of signal processing methods in biomedical and communication problems.

  • 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)


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Periodicals related to Medical diagnosis

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


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.


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Xplore Articles related to Medical diagnosis

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IEE Colloquium on 'Problems in Human Vision: How Can Technology Help?' (Digest No.99)

[] IEE Colloquium on Problems in Human Vision: How Can Technology Help?, 1989

None


Computing for artificial intelligence

[{u'author_order': 1, u'affiliation': u'Hewlett-Packard Co., Cupertino, CA, USA', u'full_name': u'D. Secombe'}] 1985 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1985

VLSI technology is making possible the rapid development of computers that are tailored to artificial intelligence applications, which require fast sorting and searching through large databases. New computer architectures are sought because traditional computers are too slow at performing these tasks. Special features of the upgraded computers are the hardware implementation of parallel processing and the support of data types.


IEE Colloquium on 'The Application of Artificial Intelligence Techniques to Signal Processing' (Digest No.42)

[] IEE Colloquium on Application of Artificial Intelligence Techniques to Signal Processing, 1989

None


IEE Colloquium on 'Biomagnetic Methods in Medicine' (Digest No.016)

[] IEE Colloquium on Biomagnetic Methods in Medicine, 1993

None


Model Construction of Nonrigid Biological Objects from Images

[{u'author_order': 1, u'affiliation': u'University of South Florida', u'full_name': u'D. Goldgof'}] Sixth Mexican International Conference on Computer Science (ENC'05), 2005

Being able to accurately model the deformation of biological objects is vital to the success of many multidisciplinary studies such as computer-aided surgery simulation and planning, image-based medical diagnosis, and motion- based human identification etc. Among various modeling techniques, physical model becomes increasingly popular because the physical and mathematical rigors upon which the model is established can ensure physically sound ...


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Educational Resources on Medical diagnosis

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eLearning

No eLearning Articles are currently tagged "Medical diagnosis"

IEEE-USA E-Books

  • CADUCEUS: An Experimental Expert System for Medical Diagnosis

    This chapter contains sections titled: Critical Partnership, Deciding What to Decide, A Paradox, INTERNIST I, A Very Sick Woman, Iterating toward Answers, For More Information

  • A Case Study on Evolution of System Building Expertise: Medical Diagnosis

    This chapter contains sections titled: Introduction, Historical Perspective, Artificial Intelligence and Diagnostic Reasoning, Hypothetico-deductive nature of Diagnostic Process, Origins of Research in Medical Diagnosis at MIT, Limiting the Number of Active Hypotheses, Hierarchic Organization of Hypotheses, Diagnostic Reasoning using Multiple Hierarchies, Problems in Dealing with Multiple Disorders, Diagnosing Multiple Interacting Diseases, Organization of Medical Knowledge in ABEL, Composite Hypotheses, Diagnostic Problem Solving in ABEL, Where do we Stand?, Lessons from the field of AIM, Acknowledgments

  • Accelerometer-Based Body Sensor Network (BSN) for Medical Diagnosis Assessment and Training

    Body sensor network (BSN) can provide real-time remote monitoring of the health situation of a particular person. In operation, wearable, miniaturized, and low-power consumption sensors are attached on or implanted in human body for collecting biological signals. In this chapter, the use of accelerometers for BSN for monitoring the body motions is discussed. Recent advances in the computation of motion identification are described including tilting angle, muscle strength, and gait performance and specific computing algorithms, different interpretations of the signal from accelerometers can be formulated. Moreover, several medical diagnosis assessment and training applications are introduced to demonstrate the capability of an accelerometer-based BSN. Furthermore, the concept of using biped humanoid robots to develop the BSN simulation system is discussed. Finally, the BSN simulation system could generate helpful BSN information for evaluating the algorithms' performance in laboratories before the BSN systems are deployed to the human's body.

  • Proteomic Data Analysis: Pattern Recognition for Medical Diagnosis and Biomarker Discovery

    This chapter contains sections titled: * Introduction * Proteomic Data Analysis * Biomarker Discovery * Conclusion This chapter contains sections titled: * Acknowledgments * Appendix: Proteomics Methods and Technologies * References ]]>

  • Elastic Shape Analysis of Three-Dimensional Objects

    <p>Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, including the fact that objects differ in both geometry and topology. In this manuscript, we narrow the problem by focusing on objects with fixed topology, say objects that are diffeomorphic to unit spheres, and develop tools for analyzing their geometries. The main challenges in this problem are to register points across objects and to perform analysis while being invariant to certain shape-preserving transformations.</p> <p>We develop a comprehensive framework for analyzing shapes of spherical objects, i.e., objects that are embeddings of a unit sphere in ℝ, including tools for: quantifying shape differences, optimally deforming shapes into each other, summarizing shape samples, extracting principal modes of shape variability, and modeling shape variability associated with populations. An important strength of this framework is that it is elastic: it performs alignment, registration, and comparison in a single unified framework, while being invariant to shape- preserving transformations.</p> <p>The approach is essentially Riemannian in the following sense. We specify natural mathematical representations of surfaces of interest, and impose Riemannian metrics that are invariant to the actions of the shape-preserving transformations. In particular, they are invariant to reparameterizations of surfaces. While these metrics are too complicated to allow broad usage in practical applications, we introduce a novel representation, termed square-root normal fields (SRNFs), that transform a particular invariant elastic metric into the standard L² metric. As a result, one can use standard techniques from functional data analysis for registering, comparing, and summarizing shapes. Specifically, this results in: pairwise registration of surfaces; computation of geodesic paths encoding optimal deformations; computation of Karcher means and covariances under the shape metric; tangent Principal Component Analysis (PCA) and extraction of dominant modes of variability; and finally, modeling of shape variability using wrapped normal densities.</p> <p>These ideas are demonstrated using two case studies: the analysis of surfaces denoting human bodies in terms of shape and pose variability; and the clustering and classification of the shapes of subcortical brain structures for use in medical diagnosis.</p> <p>This book develops these ideas without assuming advanced knowledge in differential geometry and statistics. We summarize some basic tools from differential geometry in the appendices, and introduce additional concepts and terminology as needed in the individual chapters.</p>

  • Recognition of Humans and Their Activities Using Video

    The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities. In the area of face recognition, we start with the traditional methods for image-based analysis and then describe some of the more recent developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination. We note that the main challenge facing researchers in this area is the development of recognition strategies that are robust to changes due to pose, illumination, disguise, and aging. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in this area is to automatically extract the parameters for representation of human gait. We describe some of the techniques that have been developed for this purpose, most of which are appearance based. We also highlight the challenges involved in dealing with changes in viewpoint and propose methods based on image synthesis, visual hull, and 3D models. In the domain of human activity recognition, we present an extensive survey of various methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision. We then outline our method for modeling complex activities using 2D and 3D deformable shape theory. The wide application of automatic human identification and activity recognition methods will require the fusion of different modalities like face and gait, dealing with the problems of pose and illumination variations, and accurate computation of 3D models. The last chapter of this lecture deals with these areas of future research.

  • The Animat and the Physician

    Animat research has already produced interesting concepts and algorithms. In this paper, we analyze how this research can be applied to human intelligence understanding and to reproducing of some expert behaviors. To support these ideas, we experiment with an improvement of Boole, a Genetic Based Learning algorithm from animat research, in a medical domain of expertise. We experimentally demonstrate that our system obtains good results on a well known realistic medical diagnosis task, and we analyze its potential ability to solve more complicated problems.



Standards related to Medical diagnosis

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IEEE Standard for Testability and Diagnosability Characteristics and Metrics

This standard defines technology independent testability and diagnosability characteristics and metrics, particularly those based on relevant standard information models including standard AI-ESTATE (IEEE 1232.1 and P1232.3) information models.


Standard for Software Interface for Maintenance Information Collection and Analysis

The scope of the Standard Software Interface for Maintenance Information Collection and Analysis (SIMICA) is an implementation independent specification for a software interface to information systems containing data pertinent to the diagnosis and maintenance of complex systems consisting of hardware, software, or any combination thereof. These interfaces will support service definitions for creating application programming interfaces (API) for the access, ...



Jobs related to Medical diagnosis

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