Application of deep learning models in gastric cancer pathology image analysis: a systematic scoping review
Abstract Background Accurate diagnosis and prognosis stratification of gastric cancer (GC) are crucial for effective treatment. However, traditional histopathological image analysis relies on the subjective judgment of pathologists, which is time-consuming and prone to errors. The emergence of deep...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-025-14662-3 |
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