Binary differential evolution with self learning and deep neural network for breast cancer classification-Reference-Cited by-同舟云学术

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Binary differential evolution with self learning and deep neural network for breast cancer classification

Published:2022-03-24 Issue:15 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Pamula Pullaiah Nagaraja Rao¹^ORCID,Venkatasekhar Dorai²,Venkatramana Padarthi³,Sudhakar Balaraj¹

Affiliation:

1. Department of Electronics & Communication Engineering Annamalai University Chidambaram Tamil Nadu India

2. Department of Information Technology Annamalai University Chidambaram Tamil Nadu India

3. Department of Electronics & Communication Engineering Sree Vidyanikethan Engineering College Tirupati Andhra Pradesh India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6951

Reference39 articles.

1. Convolutional neural network improvement for breast cancer classification

2. Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network

3. Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

4. Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review

5. Breast cancer classification using deep belief networks

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