Abstract
Medical imaging informatics (MII) includes problems of image data representation and abstraction. This provides immense help not only in standardization and interoperability but also enhances image data usability for data mining, decision support, and visual modeling and simulation. Hematological research has been significantly substantiated with the advancement of medical informatics approach. Among various hematological disorders, malaria and anemia are very common diseases that affect the human population as major health burden. This book chapter focuses on the quantitative evaluation of erythrocytes (red blood cells, RBCs) for characterization of malaria parasites and its differential infections. Anemic erythrocytes have also been recognized from light microscopic images with respect to their shape, size, and other quantitative attributes.
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Das, D.K., Chakraborty, C., Mukherjee, R., Maiti, A.K. (2018). Development in Malaria and Anemia Screening: Medical Imaging Informatics Approach. In: Wadhwa, G., Shanmughavel, P., Singh, A., Bellare, J. (eds) Current trends in Bioinformatics: An Insight. Springer, Singapore. https://doi.org/10.1007/978-981-10-7483-7_15
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DOI: https://doi.org/10.1007/978-981-10-7483-7_15
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