Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images-Reference-Cited by-同舟云学术

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images

Published:2024-07 Issue:7 Volume:43 Page:2509-2521
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Wang Jian¹^ORCID,Qiao Liang¹,Zhou Shichong²,Zhou Jin²^ORCID,Wang Jun¹^ORCID,Li Juncheng¹^ORCID,Ying Shihui³^ORCID,Chang Cai²^ORCID,Shi Jun¹^ORCID

Affiliation:

1. Key Laboratory of Specialty Fiber Optics and Optical Access Networks and the Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, School of Communication and Information Engineering, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China

2. Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China

3. Department of Mathematics, School of Science, Shanghai University, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10579886/10439278.pdf?arnumber=10439278

Reference53 articles.

1. Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review

2. Automated diagnosis of breast ultrasonography images using deep neural networks

3. Recent advances in deep learning for object detection

4. Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses

5. A guide to deep learning in healthcare

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