4,594 resources related to Pathology
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
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
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
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.
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.
2000 10th European Signal Processing Conference, 2000
In this work, a cross-disciplinary approach was presented for the solution of a biomedicai pattern recognition problem: cancer diagnosis. Specifically, prostate specimen images were analyzed. Images were acquired by a microscope, video camera and a digitizing board and stored on a computer. The software required to indicate the areas of interest of the tissue image to the pathologist, was developed ...
The Dark Side of Software Engineering: Evil on Computing Projects, None
Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365), 1999
Computing in Cardiology 2014, 2014
Fetal heart rate (FHR) recorded within the cardiotocography (CTG) measurement is currently the main method to evaluate fetal health state during delivery. The CTG provides valuable information about fetal behavior as a reaction to stressful events (hypoxic episodes). The presented paper proposes to use data driven analysis of FHR - the clustering analysis of features derived automatically from the signal ...
IEEE Conference on Nuclear Science Symposium and Medical Imaging, 1992
The effect of Gaussian noise and noise reduction techniques on subsequent tissue classification in MR (magnetic resonance) images was investigated. For image restoration, a nonlinear Gaussian window filter was used before classifying the multispectral MR acquisitions from the head. The Bayesian classifier was based on J. Haslett's (1985) contextual method. The classification experiments demonstrated that it was possible to recognize ...
In this work, a cross-disciplinary approach was presented for the solution of a biomedicai pattern recognition problem: cancer diagnosis. Specifically, prostate specimen images were analyzed. Images were acquired by a microscope, video camera and a digitizing board and stored on a computer. The software required to indicate the areas of interest of the tissue image to the pathologist, was developed on the object-oriented basis. User interface was designed for the required functions. Discriminatory power of shape feature were evaluated statistically. The sensitivity and specificity ratios for different threshold levels of the feature set were calculated.
Fetal heart rate (FHR) recorded within the cardiotocography (CTG) measurement is currently the main method to evaluate fetal health state during delivery. The CTG provides valuable information about fetal behavior as a reaction to stressful events (hypoxic episodes). The presented paper proposes to use data driven analysis of FHR - the clustering analysis of features derived automatically from the signal using novel method of signal approximation called SAX Even though the clustering is well grounded in signal processing tasks in the field of FHR research it is used sparingly due to high inter- individual variability of fetuses and dificulties to link diferent temporal events. Data from the open access CTU-UHB database (552 CTG records) available at the Physionet are used and the 30 minutes segments at the end of the first stage of labor are analyzed. The classification based on clustering achieved sensitivity of 58. 7% and specificity of 69.4% for the two class classification - well comparable to other pH based studies. Sensitivity was improved to 71.4% for six cluster settings - thus suggesting different classes of FHR. This is in contrast with objective evaluation (two classes usually determined with pH threshold) and three classes (used by clinicians for evaluation). Nevertheless to properly describe the link between these clusters and clinical evaluation robust interpretation is still necessary.
The effect of Gaussian noise and noise reduction techniques on subsequent tissue classification in MR (magnetic resonance) images was investigated. For image restoration, a nonlinear Gaussian window filter was used before classifying the multispectral MR acquisitions from the head. The Bayesian classifier was based on J. Haslett's (1985) contextual method. The classification experiments demonstrated that it was possible to recognize normal brain tissue types and some pathological lesions. Preprocessing with the Gaussian window filter did not improve the tissue classification results in the case of images with normal noise level. The robustness of the classifier against noise (which is shown to be Gaussian) was explored. Noisy input severely affected the classification results. However, the number of misclassifications was clearly reduced after applying a Gaussian window filter with a fixed smoothing parameter.<<ETX>>
This work provides a summary of the state-of-the-art in inertial-based adaptive stimulation strategies for treatment of movement disorders like Parkinson's disease and Essential Tremor. A review of recent technical and clinical neuroscience is provided to give a state-of-the-art overview. We then propose a closed-loop system concept using an accelerometer and a phase locked loop algorithm as a conceptual methodology for enhanced therapy systems. The remaining challenges to practical implementation are then briefly described.
Often Wigner distribution's interference terms are considered "undesirable" artifacts in the time-frequency plane because they do not permit to observe important components of the analyzed signal, nevertheless, these interference terms could be a very useful tool in analysis of multicomponent signals, for instance, they can be employed to break up a signal into a sum of parts. This paper presents a time-frequency representation to analyze late potentials by means of interference terms interpretation of the Wigner distribution with ventricular tachycardia patients.
In this paper the medical problems in Kazakhstan are indicated and the solutions including technological assistance by Japan are discussed. Especially telemedicine is situated in one of the important solutions for the problems, and then we have started an experiment of telemedicine between Kazakhstan and Japan in order to improve the accuracy of pathological diagnosis. In this experiment we have produced good results using the teleconsultation system.
Summary form only given. The polarization tomography features of optically anisotropic architectonic nets of different morphological structure biotissues (BT) have been investigated. The phase tomography (PT) features of skin derma, muscular and bone BT have been experimentally investigated. The interrelation between the PT structure and BT physiological state has been determined. The early diagnostics criteria of the degenerative-dystrophic appearance and pathological changes of the structure of BT optically anisotropic architectonics have been determined: (i) Optical anisotropy of physiologically normal myometry is not practically apparent- the PTs represent a quasi- homogeneous field with several fluctuations /spl Delta/n(X,Y) /spl ap/ 10/sup -5/. This points to a rather amorphous optical structure of BT, i.e., to "lack of development" of myometry collagen net. (ii) The phase component topology of the diffusely changed myometry architectonics is formed by the areas with inhomogeneous distribution of birefringence /spl Delta/n(X,Y), the values of which vary from 1.2 /spl times/ 10/sup -4/ to 1.1 /spl times/ 10/sup -3/ respectively. (iii) The tumor-forming processes are accompanied by the formation of "anisotropy zones", within which the birefringence value of architectonics increases by two orders and reaches the level of 2.5 /spl times/ 10/sup -3/.
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Assistant Professor -- Computational Multi-omics Diagnostics (Tenure Track)
The Department of Pathology and Laboratory Medicine at the Perelman School of Medicine at the University of Pennsylvania