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

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