A technical review of convolutional neural network-based mammographic breast cancer diagnosis

DOI10.1155/2019/6509357zbMath1423.92195DBLPjournals/cmmm/ZouYMZLX19OpenAlexW2924232218WikidataQ64054681 ScholiaQ64054681MaRDI QIDQ2003663

Shaode Yu, Tiebao Meng, Yaoqin Xie, Lian Zou, Xiaokun Liang, Zhicheng Zhang

Publication date: 9 July 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/6509357

zbMATH Keywords

convolutional neural networkmammographic breast cancer diagnosis

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biomedical imaging and signal processing (92C55) Computational methods for problems pertaining to biology (92-08) Research exposition (monographs, survey articles) pertaining to biology (92-02)

Uses Software

• ImageNet
• t-SNE
• AlexNet
• Faster R-CNN

Cites Work

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• AlexNet
• Automated breast cancer detection and classification using ultrasound images: a survey
• Computer-aided detection and classification of microcalcifications in mammograms: a survey.
• Nonrigid registration of lung CT images based on tissue features
• A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs

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