Characterization of abnormalities in breast cancer images using<scp>nature‐inspired</scp>metaheuristic optimized convolutional neural networks model-Reference-Cited by-同舟云学术

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Characterization of abnormalities in breast cancer images usingnature‐inspiredmetaheuristic optimized convolutional neural networks model

Published:2021-09-22 Issue:4 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Oyelade Olaide N.¹^ORCID,Ezugwu Absalom E.¹^ORCID

Affiliation:

1. School of Mathematics, Statistics, and Computer Science University of KwaZulu‐Natal Pietermaritzburg South Africa

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.6629

Reference96 articles.

1. Applications of Computational Methods in Biomedical Breast Cancer Imaging Diagnostics: A Review

2. Computational methods for analysis of human breast tumor tissue in optical coherence tomography images

3. A Novel Approach for Breast Cancer Detection and Segmentation in a Mammogram

4. Analysis of k-means clustering approach on the breast cancer Wisconsin dataset

5. Method Based on Data Mining Techniques for Breast Cancer Recurrence Analysis

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