Integrating explainable artificial intelligence and light gradient boosting machine for glioma grading
Background: Glioma grading plays a pivotal role in neuro-oncology, directly influencing treatment strategies and patient prognoses. Despite its importance, traditional histopathological analysis has drawbacks, spurring interest in applying machine learning (ML) techniques to improve accuracy and rel...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
KeAi Communications Co., Ltd.
2025-03-01
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| Collection: | Informatics and Health |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2949953424000262 |
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