RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields
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 MRI is still a challenging task. In this...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-05-01
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Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920301075 |