Heuristically optimized weighted feature fusion with adaptive cascaded deep network: a novel breast cancer detection framework using mammogram images-Reference-Cited by-同舟云学术

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Heuristically optimized weighted feature fusion with adaptive cascaded deep network: a novel breast cancer detection framework using mammogram images

Published:2023-12 Issue: Volume: Page:1-22
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Poonia Amarjeet¹,Sharma Virendra Kumar²,Singh Hari Kumar³,Maheshwari Saurabh⁴

Affiliation:

1. Department of Information Technology, Women Engineering College, Ajmer, Rajasthan, India

2. Department of Electrical Engineering, Bhagwant University, Ajmer, Rajasthan, India

3. Department of Electronics and Communication Engineering, F.E.T, M.J.P. Rohilkhand University, Bareilly, U.P, India

4. Department of Computer Engineering, Women Engineering College, Ajmer, Rajasthan, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2278908

Reference35 articles.

1. Cat Swarm Optimization Algorithm: A Survey and Performance Evaluation

2. Preprocessing of Breast Cancer Images to Create Datasets for Deep-CNN

3. Deer Hunting Optimization Algorithm: A New Nature-Inspired Meta-heuristic Paradigm

4. Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning

5. Deep convolutional neural network and emotional learning based breast cancer detection using digital mammography

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