A robust nonlinear tissue-component discrimination method for computational pathology-Reference-Cited by-同舟云学术

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A robust nonlinear tissue-component discrimination method for computational pathology

Published:2016-01-18 Issue:4 Volume:96 Page:450-458
ISSN:0023-6837
Container-title:Laboratory Investigation
language:en
Short-container-title:Lab Invest

Author:

Sarnecki Jacob S,Burns Kathleen H,Wood Laura D,Waters Kevin M,Hruban Ralph H,Wirtz Denis,Wu Pei-Hsun

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Pathology and Forensic Medicine

Link

http://www.nature.com/articles/labinvest2015162.pdf

Reference42 articles.

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2. De Sousa EMF, Wang X, Jansen M et al. Poor-prognosis colon cancer is defined by a molecularly distinct subtype and develops from serrated precursor lesions. Nat Med 2013;19:614–618.

3. Beck AH, Sangoi AR, Leung S et al. Systematic analysis of breast cancer morphology uncovers stromal features associated with survival. Sci Trans Med 2011;3:108ra13.

4. Kwak JT, Hewitt SM, Sinha S et al. Multimodal microscopy for automated histologic analysis of prostate cancer. BMC Cancer 2011;11:62.

5. Doyle S, Feldman M, Tomaszewski J et al. A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies. IEEE Trans Biomed Eng 2012;59:1205–1218.

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