Optimal transport theory based GAN for medical image augmentation and classification

Optimal transport theory based GAN for medical image augmentation and classification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Chi tiết về thư mục
Những tác giả chính:	Siddiki Shan, Md. Abdul Kahhar, Quaiyum, Md. Abdul, Saha, Sugata, Nayer Anik, S. M. Navin
Tác giả khác:	Rabiul Alam, Dr. Md. Golam
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	Brac University 2023
Những chủ đề:	Optimal Transport(OT) Theory Generative Adversarial Networks (GANs) Unsupervised neural networks Wasserstein distance Maximum Mean Discrepancy(MMD) Chest X-Ray Covid-19 Viral pneumonia Lung opacity Natural language processing (Computer science) Machine learning
Truy cập trực tuyến:	http://hdl.handle.net/10361/19232

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