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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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Jiaxing Qi

Dao Tan

Vivien Tan

Ming Tan

Tangsheng Tan

Other publications of authors with the same name

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)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)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)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)Higher-order sensorimotor circuit of the brain's global network supports human consciousness.P. Qin, X. Wu, C. Wu, H. Wu, J. Zhang, Z. Huang, X. Weng, D. Zang, Z. Qi, W. Tang and 9 other author(s). NeuroImage, (2021)An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography.W. Cao, M. Pomeroy, S. Zhang, J. Tan, Z. Liang, Y. Gao, A. Abbasi, and P. Pickhardt. Sensors, 22 (3): 907 (2022)LGAN: Lung segmentation in CT scans using generative adversarial network.J. Tan, L. Jing, Y. Huo, L. Li, O. Akin, and Y. Tian. Comput. Medical Imaging Graph., (2021)A Fast Automatic Juxta-pleural Lung Nodule Detection Framework Using Convolutional Neural Networks and Vote Algorithm.J. Tan, Y. Huo, Z. Liang, and L. Li. Patch-MI@MICCAI, volume 11075 of Lecture Notes in Computer Science, page 85-92. Springer, (2018)Cross-modal Center Loss.L. Jing, E. Vahdani, J. Tan, and Y. Tian. CoRR, (2020)

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Disambiguation of "Tan, Jiaxing"

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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

Jiaxing Qi

Dao Tan

Vivien Tan

Ming Tan

Tangsheng Tan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tan, Jiaxing"

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

Jiaxing Qi

Dao Tan

Vivien Tan

Ming Tan

Tangsheng Tan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

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