Dr. Tong Zhao Profile

Dr. Tong Zhao

Researcher at Carnegie Mellon Univ

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Publications (5)

Proceedings Article | 22 February 2006 Paper

Spectral imaging detects breast cancer in fresh unstained specimens

Alice Chung, Mark Gaon, Jihoon Jeong, Scott Karlan, Erik Lindsley, Sebastian Wachsmann-Hogiu, Yizhi Xiong, Tong Zhao, Daniel Farkas

Proceedings Volume 6088, 608806 (2006) https://doi.org/10.1117/12.644927

KEYWORDS: Tissues, Breast cancer, Imaging spectroscopy, Image segmentation, Breast, Cancer, Tumors, Image classification, In vivo imaging, Library classification systems

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Proceedings Article | 29 April 2005 Paper

A novel node-structural map for angiogenesis analysis

Yizhi Xiong, Tong Zhao, Dodanim Talavera, Rocio Honigmann, Daniel Farkas

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.596443

KEYWORDS: Content addressable memory, Image segmentation, Blood vessels, In vivo imaging, Quantitative analysis, Image analysis, Control systems, In vitro testing, Arteries, Fractal analysis

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Proceedings Article | 29 March 2005 Paper

Improved 3D cellular imaging by multispectral focus assessment

Tong Zhao, Yizhi Xiong, Alice Chung, Elliot Wachman, Daniel Farkas

Proceedings Volume 5699, (2005) https://doi.org/10.1117/12.597586

KEYWORDS: Point spread functions, Multispectral imaging, Microscopes, Image segmentation, 3D image processing, Solids, Databases, Image processing, Stereoscopy, Image analysis

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Proceedings Article | 1 July 2004 Paper

A novel scheme for abnormal cell detection in Pap smear images

Tong Zhao, Elliot Wachman, Daniel Farkas

Proceedings Volume 5318, (2004) https://doi.org/10.1117/12.529770

KEYWORDS: Wavelets, Feature extraction, Image classification, Neural networks, Cervical cancer, Cancer, Distance measurement, Statistical analysis, Imaging systems, Multispectral imaging

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Proceedings Article | 1 July 2004 Paper

A recursive spectral selection scheme for unsupervised segmentation of multispectral Pap smear image sets

Tong Zhao, Elliot Wachman, Stanley Geyer, Daniel Farkas

Proceedings Volume 5322, (2004) https://doi.org/10.1117/12.529775

KEYWORDS: Image segmentation, Multispectral imaging, Distance measurement, Feature selection, Cervical cancer, Machine learning, Computer aided diagnosis and therapy, Tissues, Principal component analysis, Data modeling

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