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Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines.

W. Land, D. McKee, F. Anderson, and J. Lo. Medical Imaging: Image Processing, volume 5370 of SPIE Proceedings, SPIE, (2004)

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Vivien Lo

Wingkwong Lo

Edward Lo

Stephanie Lo

Hanna Lo

Other publications of authors with the same name

Application of support vector machines to breast cancer screening using mammogram and clinical history data.W. Land, D. McKee, R. Velazquez, L. Wong, J. Lo, and F. Anderson. Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers.A. Bilska-Wolak, C. Jr., and J. Lo. Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)Computer-aided diagnosis of mammography using an artificial neural network: predicting the invasiveness of breast cancers from image features.J. Lo, J. Kim, J. Baker, and C. Jr.. Medical Imaging: Image Processing, volume 2710 of SPIE Proceedings, SPIE, (1996)Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance.M. Mazurowski, P. Habas, J. Zurada, J. Lo, J. Baker, and G. Tourassi. Neural Networks, 21 (2-3): 427-436 (2008)Self-organizing maps for analyzing mammographic findings.J. Lo, and C. Jr.. ICNN, page 2472-2474. IEEE, (1997)Development and Application of a Suite of 4-D Virtual Breast Phantoms for Optimization and Evaluation of Breast Imaging Systems.N. Kiarashi, J. Lo, Y. Lin, L. Ikejimba, S. Ghate, L. Nolte, J. Dobbins, W. Segars, and E. Samei. IEEE Trans. Medical Imaging, 33 (7): 1401-1409 (2014)Self-organizing map for cluster analysis of a breast cancer database.M. Markey, J. Lo, G. Tourassi, and C. Jr.. Artif. Intell. Medicine, 27 (2): 113-127 (2003)Ipsilateral Lesion Detection Refinement for Tomosynthesis.Y. Ren, X. Liu, J. Ge, Z. Liang, X. Xu, L. Grimm, J. Go, J. Marks, and J. Lo. IEEE Trans. Medical Imaging, 42 (10): 3080-3090 (October 2023)Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19.F. Tushar, L. Dahal, S. Sotoudeh-Paima, E. Abadi, W. Segars, E. Samei, and J. Lo. CoRR, (2023)Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans.F. Tushar, V. D'Anniballe, R. Hou, M. Mazurowski, W. Fu, E. Samei, G. Rubin, and J. Lo. CoRR, (2020)

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Disambiguation of "Lo, Joseph Y."

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Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines.

Please choose a person to relate this publication to

Vivien Lo

Wingkwong Lo

Edward Lo

Stephanie Lo

Hanna Lo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lo, Joseph Y."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines.

Please choose a person to relate this publication to

Vivien Lo

Wingkwong Lo

Edward Lo

Stephanie Lo

Hanna Lo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines.