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.

Podrobná bibliografie
Hlavní autoři: Mim, Ankhi Akter, Ashakin, Kazi Habibul, Hossain, Sadat, Orchi, Nabiha Tasnim, Him, Al Shahriar
Další autoři: Alam, Md. Ashraful
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2024
Témata:
CNN
XAI
AI
DenseNet121
ResNet50
Federated learning
GradCAM
VGG16
Histopathological image
Deep learning (Machine learning)
Artificial intelligence > Medical applications
Expert systems (Computer science)
On-line přístup:http://hdl.handle.net/10361/22879

Internet

http://hdl.handle.net/10361/22879

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