A pilot study on parallel factor analysis as a diagnostic tool for oral cancer diagnosis: A statistical modeling approach

Author:

Kanniyappan Udayakumar12ORCID,Gnanatheepam Einstein2ORCID,Subramani Karthikeyan3ORCID,Rajendran Mangaiyarkarasi2ORCID,Chinnathambi Shanmugavel4ORCID,Aruna Prakasarao2,Ganesan Singaravelu2

Affiliation:

1. Department of Radiology CHU Sainte‐Justine Research Center Montréal Quebec Canada

2. Laser Facility for Medical Technology, Department of Medical Physics Anna University Chennai India

3. Department of Organic Chemistry, Science Faculty Peoples' Friendship University of Russia (RUDN University) Moscow Russia

4. Institute for Integrated Cell‐Material Sciences Institute for Advanced Study, Kyoto University Kyoto 606‐8501 Japan

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference38 articles.

1. Projections of number of cancer casesin India (2010–2020) by cancer groups;Takiar R;Asian Pac J Cancer Prev,2010

2. Fluorescence spectra from cancerous and normal human breast and lung tissues

3. Light sheds light on cancer—distinguishing malignant tumors from benign tissues and tumors;Alfano RR;Bull N Y Acad Med,1991

4. Fluorescence Spectroscopy of Neoplastic and Non-Neoplastic Tissues

5. Autofluorescence spectroscopy of tissues from human oral cavity for discriminating malignant from normal;Majumder SK;Lasers Life Sci,1999

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