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eess.IV2022
End to End Generative Meta Curriculum Learning For Medical Data Augmentation
Meng Li, Brian Lovell
Current medical image synthetic augmentation techniques rely on intensive use of generative adversarial networks (GANs). However, the nature of GAN architecture leads to heavy comp…
eess.IV2022★ 2 cited
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
Meng Li, Chaoyi Li, Can Peng +1
Deep learning techniques have become widely utilized in histopathology image classification due to their superior performance. However, this success heavily relies on the availabil…