MU Digital Repository
Logo

Feature Extraction Classification and Recognition of Fluorescence Signals with Different Pathological conditions Using Neural Network Classifier

Nayak, GS and Mahato, KK and D’Almeida, Lawrence and Kamath, Sudha D and Pai, Keerthilatha M and Sarkar, Arindam and Ray, Satadru and Santhosh, C and Kartha, VB and Prabhu, G K and Nayak, Jagadish Feature Extraction Classification and Recognition of Fluorescence Signals with Different Pathological conditions Using Neural Network Classifier. In: DAE –BRNS National Laser Symposium .

[img] PDF
FEATUT~1.PDF - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy

Abstract

Cancer is one of the leading causes of death all over the world. Oral cervical and breast concer are the most common malignancies reported in India. These problems can be attributed to late detection of malignancy by which time mestasization would have taken place. Cancer if detected early is curable.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 08 Dec 2011 06:40
Last Modified: 08 Dec 2011 06:40
URI: http://eprints.manipal.edu/id/eprint/1677

Actions (login required)

View Item View Item