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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Dipto, Shakib Mahmud
Άλλοι συγγραφείς: Alam, Md. Ashraful
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2024
Θέματα:
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.
Διαθέσιμο Online:http://hdl.handle.net/10361/24040

Διαδίκτυο

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

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