Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI
Cervical cancer is a preventable yet life-threatening disease that claims hundreds of thousands of lives each year, particularly in low-resource settings where timely screening is scarce. Current Deep Learning (DL) approaches for automated cervical cytology classification encounter challenges such a...
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| Principais autores: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-01-01
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| coleção: | Informatics in Medicine Unlocked |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2352914825000450 |
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