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3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography.

J. Tan, Y. Gao, Z. Liang, W. Cao, M. Pomeroy, Y. Huo, L. Li, M. Barish, A. Abbasi, and P. Pickhardt. IEEE Trans. Medical Imaging, 39 (6): 2013-2024 (2020)

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Matthew Mellon

Matthew David

Olumuyiwa Matthew

Peter Matthew

Matthew Grum

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A local geometrical metric-based model for polyp classification.W. Cao, M. Pomeroy, P. Pickhardt, M. Barish, S. III, and Z. Liang. 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.H. Zhu, M. Barish, P. Pickhardt, Y. Fan, E. Posniak, R. Richards, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76240B. SPIE, (2010)AnaFe: Visual Analytics of Image-derived Temporal Features - Focusing on the Spleen.I. Gutenko, K. Dmitriev, A. Kaufman, and M. Barish. IEEE Trans. Vis. Comput. Graph., 23 (1): 171-180 (2017)A statistical analysis of oral tagging in CT colonography and its impact on flat polyp detection and characterization.M. Pomeroy, M. Barish, P. Pickhardt, J. Yang, and Z. Liang. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 1095215. SPIE, (2019)Crowd-Assisted Polyp Annotation of Virtual Colonoscopy Videos.J. Park, S. Nadeem, J. Marino, K. Baker, M. Barish, and A. Kaufman. CoRR, (2018)Crowdsourcing for Identification of Polyp-Free Segments in Virtual Colonoscopy Videos.J. Park, S. Mirhosseini, S. Nadeem, J. Marino, A. Kaufman, K. Baker, and M. Barish. CoRR, (2016)External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19.M. Barish, S. Bolourani, L. Lau, S. Shah, and T. Zanos. Nat. Mach. Intell., 3 (1): 25-27 (2021)Integration of optical and virtual colonoscopy images for enhanced classification of colorectal polyps.M. Pomeroy, Y. Wang, A. Banerjee, A. Abbasi, M. Barish, E. Sun, J. Bucobo, P. Pickhardt, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps.H. Singh, L. Li, M. Pomeroy, P. Pickhardt, M. Barish, D. Harrington, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340I. SPIE, (2017)Maximal area and conformal welding heuristics for optimal slice selection in splenic volume estimation.I. Gutenko, H. Peng, X. Gu, M. Barish, and A. Kaufman. Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97853V. SPIE, (2016)

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Disambiguation of "Barish, Matthew A."

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3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography.

Please choose a person to relate this publication to

Matthew Mellon

Matthew David

Olumuyiwa Matthew

Peter Matthew

Matthew Grum

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Barish, Matthew A."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography.

Please choose a person to relate this publication to

Matthew Mellon

Matthew David

Olumuyiwa Matthew

Peter Matthew

Matthew Grum

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography.