The Smart Performance Comparison of AI-based Breast Cancer Detection Models-Reference-Cited by-同舟云学术

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The Smart Performance Comparison of AI-based Breast Cancer Detection Models

Published:2024-02-23 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
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Author:

Samreen Sana¹,Mohammed Abdul Sajid²,Reddy Neravetla Anuteja³,Jiwani Nasmin⁴,Logeshwaran J.⁵

Affiliation:

1. Bastyr University,Department of Public Health,Kenmore,WA,USA

2. University of the Cumberlands,School of Computer and Information Sciences,Kentucky,USA

3. University of the Cumberlands,Department of Information Technology,Kentucky,USA

4. University of The Cumberlands,Dept. of Information Technology,Williamsburg,KY,USA

5. Sri Eshwar College of Engineering,Department of ECE,Coimbatore,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498211.pdf?arnumber=10498211

Reference23 articles.

1. A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework

2. A blockchain-enabled internet of medical things system for breast cancer detection in healthcare

3. Artificial intelligence in breast cancer: application and future perspectives

4. The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification

5. Ultrasound for Breast Cancer Screening in Resource-Limited Settings: Current Practice and Future Directions

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