Automation of an algorithm based on fuzzy clustering for analyzing tumoral heterogeneity in human skin carcinoma tissue sections-Reference-Cited by-同舟云学术

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Automation of an algorithm based on fuzzy clustering for analyzing tumoral heterogeneity in human skin carcinoma tissue sections

Published:2011-02-28 Issue:5 Volume:91 Page:799-811
ISSN:0023-6837
Container-title:Laboratory Investigation
language:en
Short-container-title:Lab Invest

Author:

Sebiskveradze David,Vrabie Valeriu,Gobinet Cyril,Durlach Anne,Bernard Philippe,Ly Elodie,Manfait Michel,Jeannesson Pierre,Piot Olivier

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Pathology and Forensic Medicine

Link

http://www.nature.com/articles/labinvest201113.pdf

Reference33 articles.

1. Krishna CM, Sockalingum GD, Bhat RA, et al. FTIR and Raman microspectroscopy of normal, benign, and malignant formalin-fixed ovarian tissues. Anal Bioanal Chem 2007;387:1649–1656.

2. Wolthuis R, Travo A, Nicolet C, et al. IR spectral imaging for histopathological characterization of xenografted human colon carcinomas. Anal Chem 2008;80:8461–8469.

3. Ly E, Piot O, Wolthuis R, et al. Combination of FTIR spectral imaging and chemometrics for tumour detection from paraffin-embedded biopsies. Analyst 2008;133:197–205.

4. Ly E, Piot O, Durlach A, et al. Differential diagnosis of cutaneous carcinomas by infrared spectral micro-imaging combined with pattern recognition. Analyst 2009;134:1208–1214.

5. Kendall C, Isabelle M, Bazant-Hegemark F, et al. Vibrational spectroscopy: a clinical tool for cancer diagnostics. Analyst 2009;134:1029–1045.

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