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Lung nodule classification using local kernel regression models with out-of-sample extension.

G. Wei, H. Ma, W. Qian, F. Han, H. Jiang, S. Qi, and M. Qiu. Biomed. Signal Process. Control., (2018)

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Fangfang Yuan

Fangfang Pan

Fangfang Xu

Luyang Han

Mei Han

Other publications of authors with the same name

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)Risk prediction of small pulmonary nodules based on novel CT image texture markers.F. Han, B. Song, H. Ma, W. Qian, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101343Q. SPIE, (2017)A shape constrained MAP-EM algorithm for colorectal segmentation.H. Wang, L. Li, B. Song, F. Han, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86702F. SPIE, (2013)A framework for least squares nonnegative matrix factorizations with Tikhonov regularization.Y. Teng, S. Qi, F. Han, Y. Yao, F. Fan, Q. Lyu, and G. Wang. Neurocomputing, (2020)Topological Horseshoe Analysis and FPGA Implementation of a Classical Fractional Order Chaotic System.E. Dong, M. Yuan, F. Han, J. Tong, and S. Du. IEEE Access, (2019)A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules.F. Han, H. Wang, B. Song, G. Zhang, H. Lu, W. Moore, H. Zhao, and Z. Liang. Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86702Z. SPIE, (2013)Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme.H. Han, L. Li, F. Han, B. Song, W. Moore, and Z. Liang. IEEE J. Biomed. Health Informatics, 19 (2): 648-659 (2015)Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.F. Han, L. Yan, J. Chen, Y. Teng, S. Chen, S. Qi, W. Qian, J. Yang, W. Moore, S. Zhang and 1 other author(s). J. Digit. Imaging, 33 (3): 685-696 (2020)A Leasing Instances Based Billing Model for Cloud Computing.Q. Yuan, Z. Liu, J. Peng, X. Wu, J. Li, F. Han, Q. Li, W. Zhang, X. Fan, and S. Kong. GPC, volume 6646 of Lecture Notes in Computer Science, page 33-41. Springer, (2011)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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Disambiguation of "Han, Fangfang"

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Lung nodule classification using local kernel regression models with out-of-sample extension.

Please choose a person to relate this publication to

Fangfang Yuan

Fangfang Pan

Fangfang Xu

Luyang Han

Mei Han

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Han, Fangfang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Lung nodule classification using local kernel regression models with out-of-sample extension.

Please choose a person to relate this publication to

Fangfang Yuan

Fangfang Pan

Fangfang Xu

Luyang Han

Mei Han

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Lung nodule classification using local kernel regression models with out-of-sample extension.