RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields
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DOI: 10.1016/j.neuroimage.2020.116620
Abstract: Segmentation of brain lesions from magnetic resonance images (MRI) is an important step for disease diagnosis, surgical planning, radiotherapy and chemotherapy. However, due to noise, motion, and partial volume effects, automated segmentation of lesions from… read more here.
Keywords: conditional random; segmentation; random; dense conditional ... See more keywords