1 publication

• Published Subscription 20 May 2020

  Malaria Parasite Detection in Thin Blood Smear Images Using Deep Learning

  By Rouf Ahmad Tantray, Zahoor Ahmad Najar

  Abstract: Algorithms in deep neural networks are being used to show the presence of malaria and to estimate the depth of infection by automatically counting individual uninfected and infected RBCs in images of thin blood smears. During the training period, the relationship was tried on a set of 13600 images from several thin blood spreads and experiment was conducted. My dataset is divided into 80% for training and 20% for testing. …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 28–32 Read article →