Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images-Reference-Cited by-同舟云学术

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

Published:2021-05 Issue: Volume:70 Page:101918
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Zhou Yue,Chen Houjin^ORCID,Li Yanfeng,Liu Qin,Xu Xuanang^ORCID,Wang Shu,Yap Pew-Thian,Shen Dinggang

Funder

Major Scientific and Technological Innovation Project of Shandong Province

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference58 articles.

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4. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA,2018

5. Screening breast ultrasound: past, present, and future;Brem;Am. J. Roentgenol.,2015

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