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eess.IV2023★ 1 cited
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation
Soham Bhosale, Arjun Krishna, Ge Wang +1
Medical Image Segmentation is a useful application for medical image analysis including detecting diseases and abnormalities in imaging modalities such as MRI, CT etc. Deep learnin…
eess.IV2021★ 12 cited
Noise Entangled GAN For Low-Dose CT Simulation
Chuang Niu, Ge Wang, Pingkun Yan +8
We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose computed tomography (CT) images from a higher dose CT image. First, we present two schemes to generate a clean CT…