Cover Image

Automatic detection system of cervical cancer cells using color intensity classification

The conventional Pap smear has been undeniably responsible in reducing the number of incidence and mortality of cervical cancer. However, few concerns have arisen such as the shortage of skilled and experienced pathologists and the increasing workload as a result of more individuals having gained ac...

Full description

Saved in:
Bibliographic Details
Main Authors: Supriyanto, Eko, Pista, N. A. M., Ismail, Lukman Hakim, Rosidi, Bustanur, Mengko, Tati Latifah Rajab
Format: Conference or Workshop Item
Published: 2011
Subjects:
QH301 Biology
R Medicine (General)
Online Access:http://eprints.utm.my/id/eprint/45620/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.45620
record_format eprints
spelling my.utm.456202017-09-07T02:55:53Z http://eprints.utm.my/id/eprint/45620/ Automatic detection system of cervical cancer cells using color intensity classification Supriyanto, Eko Pista, N. A. M. Ismail, Lukman Hakim Rosidi, Bustanur Mengko, Tati Latifah Rajab QH301 Biology R Medicine (General) The conventional Pap smear has been undeniably responsible in reducing the number of incidence and mortality of cervical cancer. However, few concerns have arisen such as the shortage of skilled and experienced pathologists and the increasing workload as a result of more individuals having gained access to preventive health care which eventually will make the reviewing procedure becomes time consuming and highly prone to human errors. In order to solve this problem, an automated detection system of cervical cancer cells has been developed. The detection of cervical cancer cells is based on the morphology of the cells and level set operations. Test result shows, that by using color intensity classification the system is able to differentiate between normal and cancerous cells. This system will hopefully help the pathologist to reduce the work-load and minimize human error while maintaining and improving the accuracy of the system. 2011 Conference or Workshop Item PeerReviewed Supriyanto, Eko and Pista, N. A. M. and Ismail, Lukman Hakim and Rosidi, Bustanur and Mengko, Tati Latifah Rajab (2011) Automatic detection system of cervical cancer cells using color intensity classification. In: 15th WSEAS International Conference on Computers, 15 - 17 July 2011, Corfu Island, Greece.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QH301 Biology
R Medicine (General)
spellingShingle QH301 Biology
R Medicine (General)
Supriyanto, Eko
Pista, N. A. M.
Ismail, Lukman Hakim
Rosidi, Bustanur
Mengko, Tati Latifah Rajab
Automatic detection system of cervical cancer cells using color intensity classification
description The conventional Pap smear has been undeniably responsible in reducing the number of incidence and mortality of cervical cancer. However, few concerns have arisen such as the shortage of skilled and experienced pathologists and the increasing workload as a result of more individuals having gained access to preventive health care which eventually will make the reviewing procedure becomes time consuming and highly prone to human errors. In order to solve this problem, an automated detection system of cervical cancer cells has been developed. The detection of cervical cancer cells is based on the morphology of the cells and level set operations. Test result shows, that by using color intensity classification the system is able to differentiate between normal and cancerous cells. This system will hopefully help the pathologist to reduce the work-load and minimize human error while maintaining and improving the accuracy of the system.
format Conference or Workshop Item
author Supriyanto, Eko
Pista, N. A. M.
Ismail, Lukman Hakim
Rosidi, Bustanur
Mengko, Tati Latifah Rajab
author_facet Supriyanto, Eko
Pista, N. A. M.
Ismail, Lukman Hakim
Rosidi, Bustanur
Mengko, Tati Latifah Rajab
author_sort Supriyanto, Eko
title Automatic detection system of cervical cancer cells using color intensity classification
title_short Automatic detection system of cervical cancer cells using color intensity classification
title_full Automatic detection system of cervical cancer cells using color intensity classification
title_fullStr Automatic detection system of cervical cancer cells using color intensity classification
title_full_unstemmed Automatic detection system of cervical cancer cells using color intensity classification
title_sort automatic detection system of cervical cancer cells using color intensity classification
publishDate 2011
url http://eprints.utm.my/id/eprint/45620/
_version_ 1643651794177359872
score 13.211869

Similar Items