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A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification.

, , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)

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A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Unseen Obstacle Detection via Monocular Camera Against Speed Change and Background Noise., , and . HCI (51), volume 14057 of Lecture Notes in Computer Science, page 618-633. Springer, (2023)A comparison study of deep learning designs for improving low-dose CT denoising., , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)