EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

書誌詳細
主要な著者:	Mim, Ankhi Akter, Ashakin, Kazi Habibul, Hossain, Sadat, Orchi, Nabiha Tasnim, Him, Al Shahriar
その他の著者:	Alam, Md. Ashraful
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2024
主題:	CNN XAI AI DenseNet121 ResNet50 Federated learning GradCAM VGG16 Histopathological image Deep learning (Machine learning) Artificial intelligence > Medical applications Expert systems (Computer science)
オンライン･アクセス:	http://hdl.handle.net/10361/22879

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