PREDICTION OF LEUKAEMIA CANCER IMAGES USING PARALLEL SALIENCY ALGORITHM
Purushotham Swarnalatha, M. S. Anbarasi, Aman Sharma, M. Ganesh · International Journal of Pharma and Bio Sciences · 2015
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.