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.

Bibliografiska uppgifter
Huvudupphovsman: Dipto, Shakib Mahmud
Övriga upphovsmän: Alam, Md. Ashraful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
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.
Länkar:http://hdl.handle.net/10361/24040

Internet

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

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