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Found 3 papers, 1 papers with code
Towards generative adversarial networks as a new paradigm for radiology education
Medical students and radiology trainees typically view thousands of images in order to "train their eye" to detect the subtle visual patterns necessary for diagnosis.
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
Recent advancements in deep learning for automated image processing and classification have accelerated many new applications for medical image analysis.
Practical Window Setting Optimization for Medical Image Deep Learning
The recent advancements in deep learning have allowed for numerous applications in computed tomography (CT), with potential to improve diagnostic accuracy, speed of interpretation, and clinical efficiency.
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