Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ECBO > 2005 > TuC > TuC5

Classification of ENT Tissue Using Near-Infrared Raman Spectroscopy and Support Vector Machines

E. Widjaja, W Zheng, and Z. Huang

Not Accessible

Your library or personal account may give you access

Abstract

A recent developed pattern recognition algorithm, Support Vector Machines (SVM), was employed to classify near-infrared Raman spectroscopy data collected from normal and cancerous ENT tissues. Both SVM and Linear Discriminant Analysis show comparable classification performance.

© 2005 Optical Society of America

PDF Article
More Like This
Classification of autofluorescence spectra using the algorithm based on support vector machine

W. M. Lin, X. Yuan, P. C. Shi, J. N. Qu, P. W. Yuen, J. Sham, and W. I. Wei
CTuU6 Conference on Lasers and Electro-Optics (CLEO:S&I) 2003

Classification of Raman Spectra of Colonic Tissues using Pattern Recognition Technique

Zhiwei Huang, Effendi Widjaja, Wei Zheng, Jianhua Mo, and Colin Sheppard
ME62 Biomedical Topical Meeting (BIOMED) 2006

Optimization of tissue classification for colorectal cancer detection using support vector machines and diffuse reflectance spectroscopy

Marcelo Saito Nogueira, Michael Amissah, Siddra Maryam, Noel Lynch, Shane Killeen, Micheal O’Riordain, and Stefan Andersson-Engels
EW4A.17 European Conference on Biomedical Optics (ECBO) 2021

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use