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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., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)An evaluation method of subdivision surfaces based on moment invariants., , , and . CAD/Graphics, page 199-203. IEEE, (2009)A local geometrical metric-based model for polyp classification., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095014. SPIE, (2019)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)A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Deformation robust texture features for polyp classification via CT colonography., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)A vector representation of local image contrast patterns for lesion classification., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Differentiation of polyps by clinical colonoscopy via integrated color information, image derivatives and machine learning., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502Y. SPIE, (2019)An Identification Method for Irregular Components Related to Terminal Blocks in Equipment Cabinet of Power Substation., , , , and . Sensors, 23 (18): 7739 (September 2023)Moment invariants to affine transformation of colours., , and . Pattern Recognit. Lett., 34 (11): 1240-1251 (2013)