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A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network
2021
Computational and Mathematical Methods in Medicine
Medical image quality is highly relative to clinical diagnosis and treatment, leading to a popular research topic of medical image denoising. Image denoising based on deep learning methods has attracted considerable attention owing to its excellent ability of automatic feature extraction. Most existing methods for medical image denoising adapted to certain types of noise have difficulties in handling spatially varying noise; meanwhile, image detail losses and structure changes occurred in the
doi:10.1155/2021/9974017
pmid:34621329
pmcid:PMC8492295
fatcat:eqxotnbmx5fdpirxof35axptsy