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.

Détails bibliographiques
Auteur principal: Dipto, Shakib Mahmud
Autres auteurs: Alam, Md. Ashraful
Format: Thèse
Langue:English
Publié: Brac University 2024
Sujets:
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.
Accès en ligne:http://hdl.handle.net/10361/24040

Internet

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

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