ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment

ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2024.

מידע ביבליוגרפי
מחבר ראשי: Dipto, Shakib Mahmud
מחברים אחרים: Alam, Md. Ashraful
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2024
נושאים:
Residual network
Image data analysis
ResInvolution
Federated learning
INN
CNN
Histopathological images
Involution neural network
Diagnostic imaging > Digital techniques.
Diagnostic imaging > Data processing.
Image analysis.
Machine learning > Medical applications.
גישה מקוונת:http://hdl.handle.net/10361/24040

אינטרנט

http://hdl.handle.net/10361/24040

פריטים דומים