Optimizing lung disease classification with enhanced accuracy through transfer learning using InceptionResNetV2
Abstract For early diagnosis and efficient clinical decision-making, lung disease classification using medical imaging is essential. Nevertheless, inter-class similarity, complicated illness presentations, and the poor generalization capacity of traditional deep learning models frequently limit its...
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| Glavni autori: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Springer
2026-04-01
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| Serija: | Discover Computing |
| Teme: | |
| Online pristup: | https://doi.org/10.1007/s10791-026-10113-0 |
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