Image analysis of diabetes pathology: classifying with precision via an upgraded resnet50 framework
Diabetes is a growing global health issue, and effective diagnostic tools are needed to support early detection. This study proposes an enhanced deep learning framework, SE-ResNet50, which integrates a squeeze-and-excitation (SE) block into the conventional ResNet50 architecture to improve the class...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Medicine in Novel Technology and Devices |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590093525000360 |
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