Machine Learning for Medical Imaging Analysis Demystified

Medical imaging refers to several different technologies used to view the human body and its organs or tissues to diagnose, monitor, or treat medical conditions. Commonly used methods include medical X-ray imaging, computed tomography, magnetic resonance imaging (MRI), and ultrasound. ML involves creating algorithms that automatically improve with experience, and relies on pattern recognition to do so. Hence, ML is naturally suited for identifying patterns, which can be well utilized for medical image analysis. In more and more cases, ML systems are identifying patterns that are beyond human perception, so the use of ML in medical image analysis and visualization for computer-aided diagnosis (CAD) is continually increasing.

This lecture will outline the fundamental ML processes involved in medical image analysis. Achieving prediction and classification for CAD applications will also be discussed. Some preliminary ideas of 3D reconstruction and viewing as applied in medical image analysis will also be presented.

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Видео Machine Learning for Medical Imaging Analysis Demystified канала IEEEComputerSociety