Abnormal breast identification by nine-layer convolutional neural network with parametric rectified linear unit and rank-based stochastic pooling

Author:

Zhang Yu-DongORCID,Pan Chichun,Chen Xianqing,Wang Fubin

Funder

Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Program of Natural Science Research of Jiangsu Higher Education Institutions

Open fund for Jiangsu Key Laboratory of Advanced Manufacturing Technology

Open fund of Key Laboratory of Guangxi High Schools Complex System and Computational Intelligence

Open Fund of Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology

Henan Key Research and Development Project

Publisher

Elsevier BV

Subject

Modelling and Simulation,General Computer Science,Theoretical Computer Science

Reference35 articles.

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3. Re-excision and survival following breast conserving surgery in early stage breast cancer patients: a population-based study;Fisher;BMC Health Serv. Res.,2018

4. Comparative analysis of breast cancer detection in mammograms and thermograms;Milosevic;Biomed. Eng.-Biomed. Tech.,2015

5. Abnormal Breast detection via combination of particle swarm optimization and biogeography-Based optimization;Nakamura;Adv. Comput. Sci. Res.,2017

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