Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net
Medical Physics2019Vol. 46(7), pp. 3194–3206
Citations Over TimeTop 10% of 2019 papers
Yang Lei, Sibo Tian, Xiuxiu He, Tonghe Wang, Bo Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang
Abstract
We developed a novel deeply supervised deep learning-based approach with reliable contour refinement to automatically segment the TRUS prostate, demonstrated its clinical feasibility, and validated its accuracy compared to manual segmentation. The proposed technique could be a useful tool for diagnostic and therapeutic applications in prostate cancer.
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