Machine Learning Application in Breast Cancer Detection and Diagnosis: A Comprehensive Review
Article No.: 115, Pages 1 - 4
Abstract
Breast cancer growth stays an inescapable and hazardous sickness influencing a huge number of women around the world. Opportune and exact analysis is vital for further developing endurance rates and fitting treatment methodologies. As of late, the mix of AI (ML) methods into Breast cancer growth discovery and determination has shown noteworthy commitment. This extensive survey investigates the complex job of ML in Breast cancer growth research, drawing experiences from key examinations and audits. We dig into the different uses of ML calculations, information sources, and modalities, accentuating their capability to improve indicative exactness, risk expectation, and customized treatment proposals. Moreover, we highlight the challenges and future directions in harnessing ML's transformative power to combat breast cancer effectively.
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Published In
November 2023
1215 pages
ISBN:9798400709418
DOI:10.1145/3647444
Copyright © 2023 ACM.
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Association for Computing Machinery
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Publication History
Published: 13 May 2024
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ICIMMI 2023
ICIMMI 2023: International Conference on Information Management & Machine Intelligence
November 23 - 25, 2023
Jaipur, India
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