Multi-feature deep information bottleneck network for breast cancer classification in contrast enhanced spectral mammography-Reference-Cited by-同舟云学术

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Multi-feature deep information bottleneck network for breast cancer classification in contrast enhanced spectral mammography

Published:2022-11 Issue: Volume:131 Page:108858
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Song Jingqi,Zheng Yuanjie,Wang Jing,Ullah Muhammad Zakir,Li Xuecheng,Zou Zhenxing,Ding Guocheng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference32 articles.

1. Cancer statistics, 2021;Siegel;CA Cancer J. Clin.,2021

2. Segmentation information with attention integration for classification of breast tumor in ultrasound image;Luo;Pattern Recognit.,2022

3. Interpretation of Contrast-Enhanced Mammography;Lobbes,2019

4. Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning;Qian;Nat. Biomed. Eng.,2021

5. SD-CNN: a shallow-deep CNN for improved breast cancer diagnosis;Gao;Comput. Med. Imaging Graphics,2018

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