Breast cancer detection in digital mammography using a novel hybrid approach of Salp Swarm and Cuckoo Search algorithm with deep belief network classifier-Reference-Cited by-同舟云学术

Breast cancer detection in digital mammography using a novel hybrid approach of Salp Swarm and Cuckoo Search algorithm with deep belief network classifier

Published:2021-11-17 Issue:5-8 Volume:69 Page:364-378
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Reenadevi R.¹,Sathiyabhama B.¹,Sankar S.¹,Pandey Digvijay²

Affiliation:

1. Department of Computer Science and Engineering, Sona College of Technology, Salem, India

2. Department of Technical Education, IET, Dr A.P.J Abdul Kalam Technical University, Lucknow, India

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2022.2161149

Reference45 articles.

1. A five-year (2015 to 2019) analysis of studies focused on breast cancer prediction using machine learning: A systematic review and bibliometric analysis

2. Key steps for effective breast cancer prevention

3. Worldwide Review and Meta-Analysis of Cohort Studies Measuring the Effect of Mammography Screening Programmes on Incidence-Based Breast Cancer Mortality

4. Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques

5. Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things

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