CAD based Medical Image Diagnosis and Health Informatics

Speaker:  G R Sinha – Mandalay, Myanmar
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


In modern diagnostic systems, most of advanced medical research centers and hospitals employ CAD (Computer-aided diagnosis) based system for better diagnosis and analysis of medical images. Medical images may include X-rays, CT (computed tomography), and MRI (magnetic resonance imaging) etc. CAD actually combined several image processing components, such as pre-processing, image enhancement, feature extraction, segmentation and post-processing. We all understand very well that there is no general theory in image processing and therefore robustness remains all time challenge in this area of research. This lecture emphasizes on robust set of methods, rather a framework that could be applied to various medical imaging modalities so that appropriate diagnosis results greatly help the physicians for correct treatment of patients and serve the society in better way. Few important results on breast cancer detection at early stage using efficient CAD system would be also highlighted in the lecture.  Health informatics would also be focus of the lecture how CAD could help this important and emerging area in medical science and application. 

About this Lecture

Number of Slides:  40
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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