Medical image computing

<p>Medical image computing (MIC) is an interdisciplinary field at the intersection of <a href="/facts/Computer_science/lN3pEyPz">computer science</a>, <a href="/facts/Information_engineering/bG73LYVS">information engineering</a>, <a href="/facts/Electrical_engineering/YYXW1KLW">electrical engineering</a>, <a href="/facts/Physics/a7aH2y08">physics</a>, <a href="/facts/Mathematics/pxTouaz4">mathematics</a> and <a href="/facts/Medicine/2fnp90Je">medicine</a>. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care.
</p><p>The main goal of MIC is to extract clinically relevant information or knowledge from medical images. While closely related to the field of <a href="/facts/Medical_imaging/pL6JyJEp">medical imaging</a>, MIC focuses on the computational analysis of the images, not their acquisition. The methods can be grouped into several broad categories: <a href="/facts/Image_segmentation/jofAhbxa">image segmentation</a>, image registration, image-based physiological modeling, and others.
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Medical image computing open-in-new

Medical image computing