Automated medical image segmentation techniques
Copyright policy )Automated medical image segmentation techniques
Accurate segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This review provides details of automated segmentation methods, specifically discussed in the context of CT and MR images. The motive is to discuss the problems encountered in segmentation of CT and MR images, and the relative merits and limitations of methods currently available for segmentation of medical images.
Medical physics. Medical radiology. Nuclear medicine, medical images artifacts, segmentation, R895-920, magnetic resonance imaging, computed tomography, Review Article, Artificial intelligence techniques
Medical physics. Medical radiology. Nuclear medicine, medical images artifacts, segmentation, R895-920, magnetic resonance imaging, computed tomography, Review Article, Artificial intelligence techniques
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