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Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST)
GAN-CEST images from a brain-tumor subject yielded a semi-solid volume fraction and exchange rate NRMSE of 3. 8$\pm$1. 3% and 4. 6$\pm$1. 3%, respectively, and SSIM of 96. 3$\pm$1. 6% and 95. 0$\pm$2. 4%, respectively.
Generative Adversarial Network
Magnetic Resonance Fingerprinting
+1
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention
Reflectance confocal microscopy (RCM) is an effective, non-invasive pre-screening tool for skin cancer diagnosis, but it requires extensive training and experience to assess accurately.
