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Texture Feature Extraction and Analysis for Polyp Differentiation via Computed Tomography Colonography.

, , , , , , , , , and . IEEE Trans. Med. Imaging, 35 (6): 1522-1531 (2016)

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Performance investigation of deep learning vs. classifier for polyp differentiation via texture features., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)A local geometrical metric-based model for polyp classification., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095014. SPIE, (2019)Projection-based features for reducing false positives in computer-aided detection of colonic polyps in CT colonography., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76240B. SPIE, (2010)3D deep learning for computer-aided detection of serrated polyps in CT colonography., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model., , , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 379-389. Springer, (2020)A statistical analysis of oral tagging in CT colonography and its impact on flat polyp detection and characterization., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 1095215. SPIE, (2019)Registration of Temporally Separated CT Colonography Cases., , , , , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 46-52. Springer, (2013)Automatic colonic fold segmentation for computed tomography colonography., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83150X. SPIE, (2012)Improved polyp classification by inclusion of the surrounding colon wall textures., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502W. SPIE, (2019)An adaptive approach to centerline extraction for CT colonography using MAP-EM segmentation and distance field., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903510. SPIE, (2014)