Editorial: Artificial intelligence applications for cancer diagnosis in radiology
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Radiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fradi.2025.1493783/full |
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| _version_ | 1832582899050741760 |
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| author | Abhirup Banerjee Abhirup Banerjee Hongming Shan Ruibin Feng |
| author_facet | Abhirup Banerjee Abhirup Banerjee Hongming Shan Ruibin Feng |
| author_sort | Abhirup Banerjee |
| collection | DOAJ |
| format | Article |
| id | doaj-art-43b855d08f014d21b185c0855f84c70b |
| institution | Kabale University |
| issn | 2673-8740 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Radiology |
| spelling | doaj-art-43b855d08f014d21b185c0855f84c70b2025-01-29T06:45:52ZengFrontiers Media S.A.Frontiers in Radiology2673-87402025-01-01510.3389/fradi.2025.14937831493783Editorial: Artificial intelligence applications for cancer diagnosis in radiologyAbhirup Banerjee0Abhirup Banerjee1Hongming Shan2Ruibin Feng3Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United KingdomDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United KingdomInstitute of Science and Technology for Brain-Inspired Intelligence, MOE Frontiers Center for Brain Science, and MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, ChinaStanford Cardiovascular Institute, Stanford University, Stanford, CA, United Stateshttps://www.frontiersin.org/articles/10.3389/fradi.2025.1493783/fullartificial intelligencecancer detectioncomputer visiondeep learninginterpretabilitymachine learning |
| spellingShingle | Abhirup Banerjee Abhirup Banerjee Hongming Shan Ruibin Feng Editorial: Artificial intelligence applications for cancer diagnosis in radiology Frontiers in Radiology artificial intelligence cancer detection computer vision deep learning interpretability machine learning |
| title | Editorial: Artificial intelligence applications for cancer diagnosis in radiology |
| title_full | Editorial: Artificial intelligence applications for cancer diagnosis in radiology |
| title_fullStr | Editorial: Artificial intelligence applications for cancer diagnosis in radiology |
| title_full_unstemmed | Editorial: Artificial intelligence applications for cancer diagnosis in radiology |
| title_short | Editorial: Artificial intelligence applications for cancer diagnosis in radiology |
| title_sort | editorial artificial intelligence applications for cancer diagnosis in radiology |
| topic | artificial intelligence cancer detection computer vision deep learning interpretability machine learning |
| url | https://www.frontiersin.org/articles/10.3389/fradi.2025.1493783/full |
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