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.

Bibliografiske detaljer
Main Authors:	Mim, Ankhi Akter, Ashakin, Kazi Habibul, Hossain, Sadat, Orchi, Nabiha Tasnim, Him, Al Shahriar
Andre forfattere:	Alam, Md. Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	CNN XAI AI DenseNet121 ResNet50 Federated learning GradCAM VGG16 Histopathological image Deep learning (Machine learning) Artificial intelligence > Medical applications Expert systems (Computer science)
Online adgang:	http://hdl.handle.net/10361/22879

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