Application and research prospects of artificial intelligence in breast cancer pathological diagnosis

Breast cancer is one of the most common cancers affecting women globally. With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and tre...

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Bibliographic Details
Main Author: DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu
Format: Article
Language:zho
Published: Editorial Office of Journal of Surgery Concepts & Practice 2024-09-01
Series:Waike lilun yu shijian
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Online Access:https://www.qk.sjtu.edu.cn/jscp/fileup/1007-9610/PDF/1737619486570-384919696.pdf
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Summary:Breast cancer is one of the most common cancers affecting women globally. With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and treatment of breast cancer. This article provided an overview of the current research and application status of AI in breast cancer pathological diagnosis, and summarized the challenges encountered as well as future directions in this field.
ISSN:1007-9610