Improving Sensitivity and Specificity in Breast Cancer Detection Using Raman Spectroscopy and Bayesian Classification-Reference-Cited by-同舟云学术

Improving Sensitivity and Specificity in Breast Cancer Detection Using Raman Spectroscopy and Bayesian Classification

Published:2014-08-26 Issue:1 Volume:48 Page:40-52
ISSN:0038-7010
Container-title:Spectroscopy Letters
language:en
Short-container-title:Spectroscopy Letters

Author:

Martínez Romo Julio César,Luna-Rosas Francisco Javier,Mendoza-González Ricardo,Padilla-Díaz Alejandro,Mora-González Miguel,Martínez-Cano Evelia

Publisher

Informa UK Limited

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.tandfonline.com/doi/pdf/10.1080/00387010.2013.855640

Reference45 articles.

1. American Cancer Society. September 2013. Online. http://www.cancer.org/cancer/breastcancer/detailedguide/breast-cancer-key-statistics .

2. Bonnacio , H. Roswell Park Cancer Institute. October 2013. Online. https://www.roswellpark.org/cancertalk/201303/mammography-remains-gold-standard-breast-cancer-detection .

3. Beljebbar , A. Manfait , M. Fourier transform infrared microspectroscopy for cancer diagnostic of C6 glioma on animal model. InFourier Transforms-New Analytical Approaches and FTIR Strategies; Nikolic, G., Ed.; Intech: Rijeka, Croatia, 2013, pp. 131–146.

4. The Changing Role of Pathology in Breast Cancer Diagnosis and Treatment

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