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Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation
The augmented dataset is then used to train a U-Net segmentation network which displays a significant improvement in the segmentation accuracy in segmenting the large non-annotated dataset.
Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification
The MobileNet model was trained separately using both TensorFlow and PyTorch frameworks.
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