An Explainable Artificial Intelligence Model for the Classification of Breast Cancer

Breast cancer is the most common cancer among women and globally affects both genders. The disease arises due to abnormal growth of tissue formed of malignant cells. Early detection of breast cancer is crucial for enhancing the survival rate. Therefore, artificial intelligence has revolutionized hea...

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Autors principals:	Tarek Khater, Abir Hussain, Riyad Bendardaf, Iman M. Talaat, Hissam Tawfik, Sam Ansari, Soliman Mahmoud
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Artificial intelligence breast cancer explainable machine learning model-agnostic permutation importance partial dependence plot
Accés en línia:	https://ieeexplore.ieee.org/document/10229149/
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