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An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography., , , , , , , и . Sensors, 22 (3): 907 (2022)LGAN: Lung segmentation in CT scans using generative adversarial network., , , , , и . Comput. Medical Imaging Graph., (2021)An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets., , , , , , , , и . Comput. Medical Imaging Graph., (2019)Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain., , , , и . Vis. Comput. Ind. Biomed. Art, (2019)Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT., , , , , , , , и . IEEE Trans. Medical Imaging, 42 (11): 3129-3139 (ноября 2023)Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging., , , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109490E. SPIE, (2019)A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Higher-order sensorimotor circuit of the brain's global network supports human consciousness., , , , , , , , , и 9 other автор(ы). NeuroImage, (2021)A Fast Automatic Juxta-pleural Lung Nodule Detection Framework Using Convolutional Neural Networks and Vote Algorithm., , , и . Patch-MI@MICCAI, том 11075 из Lecture Notes in Computer Science, стр. 85-92. Springer, (2018)Cross-modal Center Loss., , , и . CoRR, (2020)