MommiNet-v2: Mammographic multi-view mass identification networks-Reference-Cited by-同舟云学术

MommiNet-v2: Mammographic multi-view mass identification networks

Published:2021-10 Issue: Volume:73 Page:102204
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Yang Zhicheng,Cao Zhenjie,Zhang Yanbo,Tang Yuxing,Lin Xiaohui,Ouyang Rushan,Wu Mingxiang,Han Mei,Xiao Jing,Huang Lingyun,Wu Shibin,Chang Peng,Ma Jie

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

Reference56 articles.

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3. Predicting breast cancer by applying deep learning to linked health records and mammograms;Akselrod-Ballin;Radiology,2019

4. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification;Al-Antari;Int. J. Med. Inform.,2018

5. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system;Al-Masni;Comput. Methods. Prog. Biomed.,2018

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