Review on Applications of Deep Learning in Digital Pathological Images
Computer-assisted methods for pathological image analysis can improve doctor's efficiency of image reading and diagnostic accuracy, effectively addressing the shortage of pathology diagnostic manpower. With the rapid development of artificial intelligence and digital pathology, deep learning te...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Chinese Journal of Medical Instrumentation
2025-05-01
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| Series: | Zhongguo yiliao qixie zazhi |
| Subjects: | |
| Online Access: | https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240499 |
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| _version_ | 1850112925307502592 |
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| author | Chaoyi LYU Yuan XIE Lu QIU Lu ZHAO Jun ZHAO |
| author_facet | Chaoyi LYU Yuan XIE Lu QIU Lu ZHAO Jun ZHAO |
| author_sort | Chaoyi LYU |
| collection | DOAJ |
| description | Computer-assisted methods for pathological image analysis can improve doctor's efficiency of image reading and diagnostic accuracy, effectively addressing the shortage of pathology diagnostic manpower. With the rapid development of artificial intelligence and digital pathology, deep learning technology has spurred a wealth of research in the field of histopathology. This article reviews the various applications of deep learning in digital pathological image analysis, such as pathological image segmentation, cancer auxiliary diagnosis, and cancer prognosis prediction, and discusses the challenges and solutions in its application. Furthermore, it predicts future trends in deep learning for pathological image analysis and proposes potential research directions. |
| format | Article |
| id | doaj-art-5c1595d1459544259e70bda35f3d86f9 |
| institution | OA Journals |
| issn | 1671-7104 |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | Editorial Office of Chinese Journal of Medical Instrumentation |
| record_format | Article |
| series | Zhongguo yiliao qixie zazhi |
| spelling | doaj-art-5c1595d1459544259e70bda35f3d86f92025-08-20T02:37:16ZzhoEditorial Office of Chinese Journal of Medical InstrumentationZhongguo yiliao qixie zazhi1671-71042025-05-0149323724310.12455/j.issn.1671-7104.2404992024-0499Review on Applications of Deep Learning in Digital Pathological ImagesChaoyi LYU0Yuan XIE1Lu QIU2Lu ZHAO3Jun ZHAO4School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030Computer-assisted methods for pathological image analysis can improve doctor's efficiency of image reading and diagnostic accuracy, effectively addressing the shortage of pathology diagnostic manpower. With the rapid development of artificial intelligence and digital pathology, deep learning technology has spurred a wealth of research in the field of histopathology. This article reviews the various applications of deep learning in digital pathological image analysis, such as pathological image segmentation, cancer auxiliary diagnosis, and cancer prognosis prediction, and discusses the challenges and solutions in its application. Furthermore, it predicts future trends in deep learning for pathological image analysis and proposes potential research directions.https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240499histopathologydeep learningpathological image segmentationcancer diagnosiscancer prognostic prediction |
| spellingShingle | Chaoyi LYU Yuan XIE Lu QIU Lu ZHAO Jun ZHAO Review on Applications of Deep Learning in Digital Pathological Images Zhongguo yiliao qixie zazhi histopathology deep learning pathological image segmentation cancer diagnosis cancer prognostic prediction |
| title | Review on Applications of Deep Learning in Digital Pathological Images |
| title_full | Review on Applications of Deep Learning in Digital Pathological Images |
| title_fullStr | Review on Applications of Deep Learning in Digital Pathological Images |
| title_full_unstemmed | Review on Applications of Deep Learning in Digital Pathological Images |
| title_short | Review on Applications of Deep Learning in Digital Pathological Images |
| title_sort | review on applications of deep learning in digital pathological images |
| topic | histopathology deep learning pathological image segmentation cancer diagnosis cancer prognostic prediction |
| url | https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240499 |
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