A GAN-based federated learning architecture for data augmentation of medical images

A GAN-based federated learning architecture for data augmentation of medical images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Al Rakin, Abdullah, Iqbal Majumder, MD. Akib, Kabir, Mohammad Farhan, Arafin, Rudmila
مؤلفون آخرون: Reza, Tanzim
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2023
الموضوعات:
GAN
Generator
Discriminator
Federated Learning
OCT
Deep Convolutional Generative Adversarial Network (DCGAN)
Wasserstein GAN (WGAN)
Distributed GAN
Mode Collapse
Non-iid Data.
Natural language processing (Computer science)
Machine learning
الوصول للمادة أونلاين:http://hdl.handle.net/10361/18089

الانترنت

http://hdl.handle.net/10361/18089

مواد مشابهة