International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Artificial Neural Network for SkinCancer Detection, Authors : Sarika Choudhari, Seema Biday, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 3, Issue 5, September - October 2014

Title:
Artificial Neural Network for SkinCancer Detection
Author Name:
Sarika Choudhari, Seema Biday
Abstract:
Abstract In this study, we investigated a computer aided diagnosis system for skin cancer detection problem. Early detection of skin cancer has the ability to reduce mortality and morbidity. There are many diagnostic technologies and tests to diagnose skin cancer. Conventional diagnosis method for skin cancer detection is Biopsy method. It is done by removing or scraping off skin and that sample under goes a series of laboratory testing. To prevent these problems, we are using a neural network system (NN) as promising modalities for detection of skin cancer. The different stages of detection involvescollection of Dermoscopic images, filtering the images for removing hairs and noises, segmenting the images using Maximum Entropy Threshold, feature extraction using GLCM and c1assification using Artificial Neural Network (ANN).It c1assifies the given data set into cancerous or non-cancerous image. Cancerous images are classified as melanoma and nonmelanoma skin cancer. Keywords:- Artificial Neural Network, BCC, GLCM, SCC, Skin Cancer
Cite this article:
Sarika Choudhari, Seema Biday , " Artificial Neural Network for SkinCancer Detection " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 3, Issue 5, September - October 2014 , pp. 147-153 , ISSN 2278-6856.
Full Text [PDF]                          Home