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An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.

S. Zhang, F. Han, Z. Liang, J. Tan, W. Cao, Y. Gao, M. Pomeroy, K. Ng, and W. Hou. Comput. Medical Imaging Graph., (2019)

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Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Gao Guo

Zhigang Gao

Other publications of authors with the same name

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 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)Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT.Y. Gao, J. Tan, Y. Shi, H. Zhang, S. Lu, A. Gupta, H. Li, M. Reiter, and Z. Liang. IEEE Trans. Medical Imaging, 42 (11): 3129-3139 (November 2023)Multi-scale characterizations of colon polyps via computed tomographic colonography.W. Cao, M. Pomeroy, Y. Gao, M. Barish, A. Abbasi, P. Pickhardt, and Z. Liang. Vis. Comput. Ind. Biomed. Art, (2019)An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.S. Zhang, F. Han, Z. Liang, J. Tan, W. Cao, Y. Gao, M. Pomeroy, K. Ng, and W. Hou. Comput. Medical Imaging Graph., (2019)MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.S. Zhang, J. Wu, E. Shi, S. Yu, Y. Gao, L. Li, L. Kuo, M. Pomeroy, and J. Liang. Comput. Medical Imaging Graph., (September 2023)Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain.Y. Gao, J. Tan, Z. Liang, L. Li, and Y. Huo. Vis. Comput. Ind. Biomed. Art, (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)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)

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Disambiguation of "Gao, Yongfeng"

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An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.

Please choose a person to relate this publication to

Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Gao Guo

Zhigang 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 An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.

Please choose a person to relate this publication to

Yongfeng Men

Yongfeng Zhang

Yongfeng Yan

Gao Guo

Zhigang Gao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.