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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Surgery Concepts & Practice
2024-09-01
|
| Series: | Waike lilun yu shijian |
| Subjects: | |
| Online Access: | https://www.qk.sjtu.edu.cn/jscp/fileup/1007-9610/PDF/1737619486570-384919696.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832590637749239808 |
|---|---|
| author | DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu |
| author_facet | DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu |
| author_sort | DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-dc4ef469c08c4f9ead4504e938fcd1f1 |
| institution | Kabale University |
| issn | 1007-9610 |
| language | zho |
| publishDate | 2024-09-01 |
| publisher | Editorial Office of Journal of Surgery Concepts & Practice |
| record_format | Article |
| series | Waike lilun yu shijian |
| spelling | doaj-art-dc4ef469c08c4f9ead4504e938fcd1f12025-01-23T10:48:45ZzhoEditorial Office of Journal of Surgery Concepts & PracticeWaike lilun yu shijian1007-96102024-09-01290538939510.16139/j.1007-9610.2024.05.04Application and research prospects of artificial intelligence in breast cancer pathological diagnosisDA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu0Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaBreast 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.https://www.qk.sjtu.edu.cn/jscp/fileup/1007-9610/PDF/1737619486570-384919696.pdf|breast cancer|pathology diagnosis|artificial intelligence(ai) |
| spellingShingle | DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu Application and research prospects of artificial intelligence in breast cancer pathological diagnosis Waike lilun yu shijian |breast cancer|pathology diagnosis|artificial intelligence(ai) |
| title | Application and research prospects of artificial intelligence in breast cancer pathological diagnosis |
| title_full | Application and research prospects of artificial intelligence in breast cancer pathological diagnosis |
| title_fullStr | Application and research prospects of artificial intelligence in breast cancer pathological diagnosis |
| title_full_unstemmed | Application and research prospects of artificial intelligence in breast cancer pathological diagnosis |
| title_short | Application and research prospects of artificial intelligence in breast cancer pathological diagnosis |
| title_sort | application and research prospects of artificial intelligence in breast cancer pathological diagnosis |
| topic | |breast cancer|pathology diagnosis|artificial intelligence(ai) |
| url | https://www.qk.sjtu.edu.cn/jscp/fileup/1007-9610/PDF/1737619486570-384919696.pdf |
| work_keys_str_mv | AT daqianruanmiaofeixiaochunwangchaofu applicationandresearchprospectsofartificialintelligenceinbreastcancerpathologicaldiagnosis |