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.

Bibliografische gegevens
Hoofdauteurs: Mim, Ankhi Akter, Ashakin, Kazi Habibul, Hossain, Sadat, Orchi, Nabiha Tasnim, Him, Al Shahriar
Andere auteurs: Alam, Md. Ashraful
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2024
Onderwerpen:
CNN
XAI
AI
DenseNet121
ResNet50
Federated learning
GradCAM
VGG16
Histopathological image
Deep learning (Machine learning)
Artificial intelligence > Medical applications
Expert systems (Computer science)
Online toegang:http://hdl.handle.net/10361/22879

Internet

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

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