A system for malaria parasite detection in thin blood-smears is presented. Sample slides prepared with standard methods are accepted. A low-cost TV-camera mounted on an ordinary microscope with a computer controlled stage is used as a picture sensor. Frames, digitized in windows of 64 x 64 pixels are fed into a special purpose picture processor at normal frame rate (25 frames/sec). In the picture processor measurements are made on the images at high speed. The classification problem is split into different levels each having different characteristics such as different sampling density. Four classes, three of which are different types of malaria parasites, are recognized. As a whole the classification is best labelled as a sequential pattern recognition procedure. In its preliminary version the system has been run at a speed comparable to that of a human operator, that is l 500 cells per minute. A test on 80 000 cells gave 25 false negatives out of 283 parasites (9%) and 41 false positives (0.05%).
Automated Malaria Parasite Detection
1977-01-01
Paper
Elektronische Ressource
Englisch
Signal Processing , Signalbehandling , Computer Vision and Robotics (Autonomous Systems) , Datorseende och robotik (autonoma system) , Medical Laboratory and Measurements Technologies , Medicinsk laboratorie- och mätteknik , Other Medical Engineering , Annan medicinteknik , Medical Equipment Engineering , Medicinsk apparatteknik
DDC: | 629 |
Parasite detection and identification for automated thin blood film malaria diagnosis
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