Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
Physics in medicine and biology, Volume 63, Issue 23, 2018, Pages 235002
WOS
Abstract:
Machine learning for image segmentation could provide expedited clinic workflow and better standardization of contour delineation. We evaluated a new model using deep decision forests of image features in order to contour pelvic anatomy on treatment planning CTs. 193 CT scans from one UK and two US institutions for patients undergoing rad...More
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