An explainable frequency-domain ML pipeline for lung histopathology classification
Background Accurate subtype classification of lung histopathology is clinically valuable, but many high-performing deep models are opaque and compute-intensive. We target a transparent, CPU-feasible pipeline that maintains competitive accuracy on a standard benchmark. Method Red, Green, Blue (RGB) p...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
PeerJ Inc.
2026-03-01
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| Seri Bilgileri: | PeerJ Computer Science |
| Konular: | |
| Online Erişim: | https://peerj.com/articles/cs-3700.pdf |
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