Article
Version 1
Preserved in Portico This version is not peer-reviewed
Artificial Intelligence-based Mammogram Analysis for Early Detection
Version 1
: Received: 13 December 2023 / Approved: 14 December 2023 / Online: 14 December 2023 (06:03:40 CET)
How to cite: Ye, S. Artificial Intelligence-based Mammogram Analysis for Early Detection. Preprints 2023, 2023121054. https://doi.org/10.20944/preprints202312.1054.v1 Ye, S. Artificial Intelligence-based Mammogram Analysis for Early Detection. Preprints 2023, 2023121054. https://doi.org/10.20944/preprints202312.1054.v1
Abstract
The article focuses on breast cancer, mammography, and artificial intelligence. First, breast cancer is a widespread health problem that affects millions of people worldwide, and mammography is a widely adopted screening method. Then it introduced the advantages of mammography after AI participation, and introduced the importance of early detection of breast cancer and the application of artificial intelligence in breast cancer detection and treatment. From these aspects extend to the entire medical field of artificial intelligence issues. Several times throughout the paper, ethical issues that could arise from applying AI to healthcare are highlighted. At the end of the article, the paper describes the continued development of AI-based mammography analysis over the next period of time.
Keywords
breast cancer; mammogram analysis; artificial intelligence
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
