Work

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images

Year: 2015

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2015.06.007

Authors: Yeqin Shao, Yaozong Gao, Qian Wang, Xin Yang, Dinggang Shen

Institutions: Shanghai Jiao Tong University, Nantong University, University of North Carolina at Chapel Hill, Korea University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Natural Science Foundation of China, National Institutes of Health, National Key Research and Development Program of China, National Cancer Institute

Awards: G1666955300, G3712795371, G4582171301, G4739438220, Online Collection of Patient-Specific Information for Daily Prostate Segmentation, G5971243293, G662034047, G6908867551, G8481034851

OpenAlex ID: W2230799606

FWCI: 4.043

Cites: 39

Cited by: 35

Related to: 10