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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書誌詳細

出版年:	IEEE Access
主要な著者:	Tarek Khater, Abir Hussain, Riyad Bendardaf, Iman M. Talaat, Hissam Tawfik, Sam Ansari, Soliman Mahmoud
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Artificial intelligence breast cancer explainable machine learning model-agnostic permutation importance partial dependence plot
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10229149/