Comprehensive Analysis of Machine and Deep Learning Models for Breast Cancer Diagnosis and Risk Assessment with Diverse Datasets-Reference-Cited by-同舟云学术

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Comprehensive Analysis of Machine and Deep Learning Models for Breast Cancer Diagnosis and Risk Assessment with Diverse Datasets

Published:2024-06-21 Issue: Volume:8 Page:1-7
ISSN:
Container-title:2023 4th International Conference on Intelligent Technologies (CONIT)
language:
Short-container-title:

Author:

Dash Rajon¹,Kohinoor Md Saidur Rahman²,Chowdhury Promise Ghosh³

Affiliation:

1. Computer Science and Engineering Leading University,Sylhet,Bangladesh,3112

2. King Fahd University of Petroleum and Minerals,Information and Computer Science,Dhahran,Saudi Arabia

3. Computer Science and Engineering Leading University Sylhet,Bangladesh,3112

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625770/10625923/10626618.pdf?arnumber=10626618

Reference22 articles.

1. Breast Cancer,2023

2. Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction

3. Diagnostic accuracy of contrast-enhanced spectral mammography in comparison to conventional full-field digital mammography in a population of women with dense breasts

4. Molecular imaging using PET for breast cancer

5. Innovative Approach for Prediction of Cancer Disease by Improving Conventional Machine Learning Classifier

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