Identifying parasite species and their stage is very important in scrutinizing the properties of malaria, and preventing as well as diagnosing it. Unfortunately, it is a labor-intensive and time-consuming task. Moreover, the diagnosis accuracy heavily depends on the experience and skill of the technician, whose training is expensive. Developing a computer-aided system is thus necessary for identifying parasite species and their stage for malaria diagnosis. Extracting the infected erythrocytes and parasites from a blood smear image is essential for such as system. The present study proposes an automatic malaria parasite detector for segmenting parasites and malaria-infected erythrocytes from a blood smear image. This detector can objectively and efficiently help a doctor diagnose malaria. Experimental results show that the proposed detector performs well in segmenting parasites and malaria-infected erythrocytes from a blood smear image taken under a microscope.
關聯:
Journal of Medical and Biological Engineering, 35(6), 803-815
