2016/08/23 by Purnima Pandit, A. Anand, Pandit, Purnima +1
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Physics and Astronomy · #62M45 #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Holography and Microscopy #FOS: Computer and information sciences #FOS: Physical sciences #Image Processing Techniques and Applications #Medical Physics (physics.med-ph) #Neural and Evolutionary Computing (cs.NE) #cs.CV #cs.NE #msc:62M45 #physics.med-ph
paper · pdf · doi:10.48550/arxiv.1608.06627
arxiv created 2016/08/23 · openalex publication_date 2016/08/23 · arxiv updated 2016/08/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Malaria is one of the most common diseases caused by mosquitoes and is a great public health problem worldwide. Currently, for malaria diagnosis the standard technique is microscopic examination of a stained blood film. We propose use of Artificial Neural Networks (ANN) for the diagnosis of the disease in the red blood cell. For this purpose features / parameters are computed from the data obtained by the digital holographic images of the blood cells and is given as input to ANN which classifies the cell as the infected one or otherwise.