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.

Détails bibliographiques
Auteurs principaux: Mim, Ankhi Akter, Ashakin, Kazi Habibul, Hossain, Sadat, Orchi, Nabiha Tasnim, Him, Al Shahriar
Autres auteurs: Alam, Md. Ashraful
Format: Thèse
Langue:English
Publié: Brac University 2024
Sujets:
CNN
XAI
AI
DenseNet121
ResNet50
Federated learning
GradCAM
VGG16
Histopathological image
Deep learning (Machine learning)
Artificial intelligence > Medical applications
Expert systems (Computer science)
Accès en ligne:http://hdl.handle.net/10361/22879

Internet

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

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