Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN
Medical Physics2020Vol. 48(1), pp. 204–214
Citations Over TimeTop 10% of 2020 papers
Yang Lei, Xiuxiu He, Jincao Yao, Tonghe Wang, Lijing Wang, Wei Li, Walter J. Curran, Tian Liu, Dong Xu, Xiaofeng Yang
Abstract
We developed a novel Mask scoring R-CNN approach for the automated segmentation of the breast tumor in ABUS images and demonstrated its accuracy for breast tumor segmentation. Our learning-based method can potentially assist the clinical CAD of breast cancer using 3D ABUS imaging.
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