Federated Learning Approach for Breast Cancer Detection Based on DCNN-Reference-Cited by-同舟云学术

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Federated Learning Approach for Breast Cancer Detection Based on DCNN

Published:2024 Issue: Volume:12 Page:40114-40138
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

AlSalman Hussain¹^ORCID,Al-Rakhami Mabrook S.²^ORCID,Alfakih Taha²^ORCID,Hassan Mohammad Mehedi²^ORCID

Affiliation:

1. Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

2. Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Funder

Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10462116.pdf?arnumber=10462116

Reference73 articles.

1. Quantitative estimates of preventable and treatable deaths from 36 cancers worldwide: a population-based study

2. Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm

3. Sports Medicine and Artificial Intelligence: A Primer

4. Multiclass classification of breast cancer histopathology images using multilevel features of deep convolutional neural network

5. Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging;Mathematics;2024-09-11

2. Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis;Big Data and Cognitive Computing;2024-08-28

3. A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications;Computer Modeling in Engineering & Sciences;2024

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