<?xml version="1.0" encoding="utf-8"?>
<Journal>
<Journal-Info>
<name>International Journal of Pharma and Bio Sciences</name>
<website>ijpbs.net</website>
<email>editorijpbs@rediffmail.com (or) editorofijpbs@yahoo.com (or) prasmol@rediffmail.com</email>
</Journal-Info>
<article>
<article-id pub-id-type='other'>10.22376/ijpbs.2019.10.1.p1-12</article-id>
<issue_number>Volume 6 Issue 2</issue_number>
<issue_period>2015 (April - June)</issue_period>
<title>PREDICTION OF LEUKAEMIA CANCER IMAGES USING PARALLEL SALIENCY ALGORITHM </title>
<abstract>Parallel Saliency algorithm is applied to solve the medical issues and to reduce the doctors' work in the society. Prediction of specific area of a leukemia, cancer image can be made using a Parallel Saliency algorithm (PSA). Firstly, most affected phase of the leukemia cancer is possible by applying the parallel saliency algorithm over cancer images, secondly, PSA works in a multi-core environment in comparison with the existing saliency algorithm. As a whole, the paper deals with PSA, which provides efficient performance to researchers and scientist.</abstract>
<authors>SWARNALATHA P, ANBARASI M, AMAN SHARMA AND GANESH M</authors>
<keywords>Parallel Saliency Algorithm, Leukemia Cancer Images, Saliency Map, Naive Bayes and Decision Tree</keywords>
<pages>226-232</pages>
</article>
</Journal>
