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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mim, Ankhi Akter, Ashakin, Kazi Habibul, Hossain, Sadat, Orchi, Nabiha Tasnim, Him, Al Shahriar
Άλλοι συγγραφείς: Alam, Md. Ashraful
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2024
Θέματα:
CNN
XAI
AI
DenseNet121
ResNet50
Federated learning
GradCAM
VGG16
Histopathological image
Deep learning (Machine learning)
Artificial intelligence > Medical applications
Expert systems (Computer science)
Διαθέσιμο Online:http://hdl.handle.net/10361/22879

Διαδίκτυο

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

Παρόμοια τεκμήρια