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Multi-task edge-recalibrated network for male pelvic multi-organ segmentation on CT images.
Tong, Nuo; Gou, Shuiping; Chen, Shuzhe; Yao, Yao; Yang, Shuyuan; Cao, Minsong; Kishan, Amar; Sheng, Ke.
Affiliation
  • Tong N; Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China.
  • Gou S; Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China.
  • Chen S; AI-based Big Medical Imaging Data Frontier Research Center, Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China.
  • Yao Y; Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China.
  • Yang S; Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China.
  • Cao M; Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China.
  • Kishan A; Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA 90095, United States of America.
  • Sheng K; Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA 90095, United States of America.
Phys Med Biol ; 66(3): 035001, 2021 01 26.
Article de En | MEDLINE | ID: mdl-33197901

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Pelvis / Traitement d'image par ordinateur / Tomodensitométrie / 29935 Type d'étude: Prognostic_studies Limites: Humans / Male Langue: En Journal: Phys Med Biol Année: 2021 Type de document: Article Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Pelvis / Traitement d'image par ordinateur / Tomodensitométrie / 29935 Type d'étude: Prognostic_studies Limites: Humans / Male Langue: En Journal: Phys Med Biol Année: 2021 Type de document: Article Pays de publication: Royaume-Uni