Classificationof Stages of Lung Cancer using Genetic Candidate Group Search Approach
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 5
Abstract
Abstract: Cancer is one of the most commonly affected diseases in the progressing countries. Early diagnosis of cancer plays a significant role in curing cancer patients. Thousands of people every year die due to lung cancer, so there a need for accurate prediction of this disease. In this paper, a Genetic Candidate Group search algorithm approach is proposed. This optimization algorithm allows assistant doctors to identify the nodules present in the lungs at the early stages. As manual interpretations are time consuming and very critical, to overcome this difficulty this hybrid method is combined with Naïve Bayes Classification and different stages of cancer images fast and accurate. The number of images are tested and the results are obtained. The accuracy of 82 percentage is achieved in classification.
Authors and Affiliations
Manasee Kurkure , Anuradha Thakare
Keywords
Related Articles
- EP ID EP90959
- DOI -
- Views 142
- Downloads 0
AUTOPARK: A Sensor Based, Automated, Secure and Efficient Parking Guidance System
Nowadays, due to modern and lavish lifestyles people prefer their own vehicles while going anywhere, resulting in increased traffic congestion and parking problems. In this paper, we propose and present a complet...
Prevention of Selective Jamming Attacks by Using Packet Hiding Methods
The open nature of the wireless medium leaves it too weak to intentional interference attacks, typically defined as jamming. This intentional interference with wireless transmissions can be used as a launch &nbs...
A Study of Universal Design and Web Accessibility of Websites with High Purpose Using of the Internet
As the Internet has become an essential tool in human life, a need for building accessible web pages is being emphasized. Universal design indicates implementation of products and services that are fair and easy to use,...
Efficient IOT Based Sensor Data Analysis in Wireless SensorNetworks with Cloud
Abstract: The improvement of wireless sensor network has offered move to public sensing as it is vibrantsharing model. This creative energy can be clarified under the Internet of Things (IoT) to adopt differentinformatio...
Water–Demand Management in the Kingdom of Saudi Arabia for Enhancement Environment
The purpose and the goal of the paper is growing substantially demand for water and waste-water infrastructure and that is being met through the available scarce and dwindling water resources. The kingdom of Sa...