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MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.

, , , , , , , , и . Comput. Medical Imaging Graph., (сентября 2023)

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Другие публикации лиц с тем же именем

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets., , , , , , , , и . Comput. Medical Imaging Graph., (2019)MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification., , , , , , , , и . Comput. Medical Imaging Graph., (сентября 2023)Multi-scale characterizations of colon polyps via computed tomographic colonography., , , , , , и . Vis. Comput. Ind. Biomed. Art, (2019)An investigation on energy spectral information of computed tomography for machine learning in lesion classification., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Improved polyp classification by inclusion of the surrounding colon wall textures., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109502W. SPIE, (2019)3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography., , , , , , , , , и . IEEE Trans. Medical Imaging, 39 (6): 2013-2024 (2020)Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity., , , , , , , , , и 2 other автор(ы). CoRR, (2022)GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis., , , , , , , и . BHI, стр. 1-4. IEEE, (2019)False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonography., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 1013434. SPIE, (2017)Vector textures derived from higher order derivative domains for classification of colorectal polyps., , , , , и . Vis. Comput. Ind. Biomed. Art, 5 (1): 16 (2022)