International Journal of Pharma and Bio Sciences
ijpbs.net
editorijpbs@rediffmail.com (or) editorofijpbs@yahoo.com (or) prasmol@rediffmail.com
10.22376/ijpbs.2019.10.1.p1-12
Volume 6 Issue 2
2015 (April - June)
PREDICTION OF LEUKAEMIA CANCER IMAGES USING PARALLEL SALIENCY ALGORITHM
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.
SWARNALATHA P, ANBARASI M, AMAN SHARMA AND GANESH M
Parallel Saliency Algorithm, Leukemia Cancer Images, Saliency Map, Naive Bayes and Decision Tree
226-232