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A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps.

S. Zhang, W. Cao, M. Pomeroy, Y. Gao, J. Tan, и Z. Liang. Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)

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Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Zhigang Gao

Gao Guo

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Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT.Y. Gao, J. Tan, Y. Shi, H. Zhang, S. Lu, A. Gupta, H. Li, M. Reiter, и Z. Liang. IEEE Trans. Medical Imaging, 42 (11): 3129-3139 (ноября 2023)Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging.J. Tan, Y. Gao, Y. Huo, L. Li, и Z. Liang. Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109490E. SPIE, (2019)An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.S. Zhang, F. Han, Z. Liang, J. Tan, W. Cao, Y. Gao, M. Pomeroy, K. Ng, и W. Hou. Comput. Medical Imaging Graph., (2019)MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.S. Zhang, J. Wu, E. Shi, S. Yu, Y. Gao, L. Li, L. Kuo, M. Pomeroy, и J. Liang. Comput. Medical Imaging Graph., (сентября 2023)Multi-scale characterizations of colon polyps via computed tomographic colonography.W. Cao, M. Pomeroy, Y. Gao, M. Barish, A. Abbasi, P. Pickhardt, и Z. Liang. Vis. Comput. Ind. Biomed. Art, (2019)Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain.Y. Gao, J. Tan, Z. Liang, L. Li, и Y. Huo. Vis. Comput. Ind. Biomed. Art, (2019)An investigation on energy spectral information of computed tomography for machine learning in lesion classification.D. Liang, D. Liang, A. Wei, L. Kuo, S. Chang, M. Pomeroy, и Y. Gao. Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps.J. Tan, S. Zhang, W. Cao, Y. Gao, L. Li, Y. Huo, и Z. Liang. Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps.S. Zhang, W. Cao, M. Pomeroy, Y. Gao, J. Tan, и Z. Liang. Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)A comparison study of deep learning designs for improving low-dose CT denoising.V. Wang, A. Wei, J. Tan, S. Lu, W. Cao, и Y. Gao. Medical Imaging: Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)

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