cGAN data augmentation with feature-based filtering improves ResNet18 CIN grading accuracy from 66.3% to 71.7% on segmented epithelium patches.
IEEE journal of biomedical and health informatics 20(6), 1595–1607 (2016)
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Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification
cGAN data augmentation with feature-based filtering improves ResNet18 CIN grading accuracy from 66.3% to 71.7% on segmented epithelium patches.