An Emperical Way to Diagnose the Cancer Stages Using Algorithm in AI System-Reference-Cited by-同舟云学术

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An Emperical Way to Diagnose the Cancer Stages Using Algorithm in AI System

Published:2024-02-09 Issue: Volume:11 Page:177-183
ISSN:
Container-title:2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
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Author:

Muniandi Balakumar¹,Yennapusa Haritha²,Ramakrishnan Rakesh³,Gupta Ketan⁴,Logeshwaran J.⁵

Affiliation:

1. Lawrence Technological University,Department of Electrical and Computer Engineering,Southfield,Michigan,USA

2. University of Central Missouri,Department of Computer Science,Austin,Texas,USA

3. University of The Cumberlands,Department of Information Technology,Union City,CA,USA

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

5. Sri Eshwar College of Engineering,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10486056/10486063/10486468.pdf?arnumber=10486468

Reference25 articles.

1. Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation

2. Artificial intelligence–based image analysis in clinical testing: lessons from cervical cancer screening

3. Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning;Andersson;medRxiv,2023

4. Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges;Tajidini;arXiv preprint arXiv:2308.01319,2023

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