Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module

Author:

Jiang Yun,Chen LiORCID,Zhang Hai,Xiao Xiao

Funder

The National Natural Science Foundation of China

The Science and Technology Plan Funded Natural Science Fund Project of Gansu Province

University Basic Research Business Expenses Special Fund Project of Gansu Province

University Graduate Tutor Project of Gansu Province

The Third Period of the Key Scientific Research Project of Knowledge and Innovation Engineering of the Northwest Normal University

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference41 articles.

1. Cancer statistics, 2017;RL Siegel;CA: a cancer journal for clinicians,2017

2. Comprehensive molecular portraits of human breast tumours;CGA Network;Nature,2012

3. Breast Cancer Classification in Histopathological Images using Convolutional Neural Network;MM Al Rahhal;Breast Cancer,2018

4. Bardou D, Zhang K, Ahmad SM. Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks. IEEE Access;PP(99):1–1.

5. Karthiga R, Narasimhan K. Automated Diagnosis of Breast Cancer Using Wavelet Based Entropy Features. In: 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE; 2018. p. 274–279.

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