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.

Bibliographische Detailangaben
1. Verfasser: Dipto, Shakib Mahmud
Weitere Verfasser: Alam, Md. Ashraful
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2024
Schlagworte:
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.
Online Zugang:http://hdl.handle.net/10361/24040

Online

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

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