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.

Dettagli Bibliografici
Autore principale: Dipto, Shakib Mahmud
Altri autori: Alam, Md. Ashraful
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2024
Soggetti:
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.
Accesso online:http://hdl.handle.net/10361/24040

Accesso online

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

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