A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN

Show other versions (1)

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliographic Details
Main Authors: Chowdhury, Asif Hasan, Islam, Md. Fahim, Riad, M Ragib Anjum, Hashem, Faiyaz Bin
Other Authors: Alam, Md. Golam Rabiul
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
AI
VGG19
Inception V3
DenseNet201
SWIN transformer
Federated learning
Privacy
Medical informatics
Cognitive science
Online Access:http://hdl.handle.net/10361/21851

Internet

http://hdl.handle.net/10361/21851

Similar Items