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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, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)

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Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Yi Gao

Yawen Gao

Other publications of authors with the same name

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, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of 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, and Y. Gao. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis.J. Tan, Y. Gao, W. Cao, M. Pomeroy, S. Zhang, Y. Huo, L. Li, and Z. Liang. BHI, page 1-4. IEEE, (2019)Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity.W. Cao, M. Pomeroy, Z. Liang, Y. Gao, Y. Shi, J. Tan, F. Han, J. Wang, J. Ma, H. Lu and 2 other author(s). CoRR, (2022)Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging.J. Tan, Y. Gao, Y. Huo, L. Li, and Z. Liang. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490E. SPIE, (2019)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, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)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, and Y. Gao. Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)A vector representation of local image contrast patterns for lesion classification.W. Cao, M. Pomeroy, Y. Gao, P. Pickhardt, A. Abbasi, J. Bandovic, and Z. Liang. 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.Y. Wang, M. Pomeroy, W. Cao, Y. Gao, E. Sun, S. III, J. Bucobo, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502Y. SPIE, (2019)Using virtual monoenergetic images in Karhunen-Loève domain to differentiate lesion pathology.Y. Gao, S. Chang, M. Pomeroy, L. Li, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

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Disambiguation of "Gao, Yongfeng"

Please choose a person to relate this publication to

Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Yi Gao

Yawen Gao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gao, Yongfeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps.

Please choose a person to relate this publication to

Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Yi Gao

Yawen Gao

Other publications of authors with the same name

Disambiguation