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.

書誌詳細
第一著者:	Dipto, Shakib Mahmud
その他の著者:	Alam, Md. Ashraful
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2024
主題:	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.
オンライン･アクセス:	http://hdl.handle.net/10361/24040

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