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A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.

S. Zhang, J. Wu, S. Yu, R. Wang, E. Shi, Y. Gao, and Z. Liang. MMMI@MICCAI, volume 13594 of Lecture Notes in Computer Science, page 44-53. Springer, (2022)

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Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Zhigang Gao

Gao Guo

Other publications of authors with the same name

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)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)A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.S. Zhang, J. Wu, S. Yu, R. Wang, E. Shi, Y. Gao, and Z. Liang. MMMI@MICCAI, volume 13594 of Lecture Notes in Computer Science, page 44-53. Springer, (2022)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)A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification.S. Chang, Y. Gao, M. Pomeroy, S. Lu, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Multi-channel medical image segmentation method in Hessian domain.S. Cao, E. Yu, A. Clarke, Y. Gao, and L. Li. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Polyp classification by Weber's Law as texture descriptor for clinical colonoscopy.Y. Wang, M. Pomeroy, W. Cao, Y. Gao, E. Sun, S. III, Z. Liang, and J. Bucobo. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502V. SPIE, (2019)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)

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Disambiguation of "Gao, Yongfeng"

Please choose a person to relate this publication to

Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Zhigang Gao

Gao Guo

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 Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.

Please choose a person to relate this publication to

Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Zhigang Gao

Gao Guo

Other publications of authors with the same name

Disambiguation