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.

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Dipto, Shakib Mahmud
مؤلفون آخرون: Alam, Md. Ashraful
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2024
الموضوعات:
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.
الوصول للمادة أونلاين:http://hdl.handle.net/10361/24040

الانترنت

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

مواد مشابهة