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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Purnama, I.K.E. Rahmanti, F.Z. Purnomo, M.H. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Electr. Eng., Inst. Teknol. Sepuluh Nopember, Surabaya, Indonesia (Rahmanti, F.Z.) || Dept. of Multimedia & Network Eng., Inst. Teknol. Sepuluh Nopember, Surabaya, Indonesia (Purnama, I.K.E.; Purnomo, M.H.) |
| Abstract | Thin blood film is used to know type and phase of the malaria parasite, but which is widely used in Indonesia is the thick blood film. Therefore we need a method that can identify parasites in thick blood film image with a high percentage of accuracy. This research aims to establish a more objective classification system and reduce the subjective factors of medical personnel in diagnosing the type of malaria parasite include its phase. It has three main stages, there are preprocessing, feature extraction, and classification. Preprocessing aims to eliminate the noise, feature extraction using red-green-blue channel color histogram, hue channel HSV histogram, and hue channel HSI histogram, classification using Genetic Programming to identify parasites and also to detect type and phase of the parasite. Experiment was conducted on 180 thick blood film images that classiffied into two classes. The classification has an average accuracy of 95.49% for non-parasites and 95.58% for parasites. Meanwhile when system is used to classified into six classes, testing result have an average accuracy of 90.25% not parasites, 82.25% vivax thropozoit, 75.83% vivax schizont, 81.75% vivax gametocytes, 90.75% falciparum thropozoit, 86.75% falciparum gametocytes. This research confirm that identifying malaria parasite in thick blood film is possible. |
| Starting Page | 194 |
| Ending Page | 198 |
| File Size | 353325 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479916504 |
| DOI | 10.1109/ICICI-BME.2013.6698491 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-07 |
| Publisher Place | Indonesia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Genetic Programming (GP) Accuracy Films Sociology Malaria Parasite Feature Extraction Feature extraction Thick Blood Film Receiver Operating Characteristics (ROC) Blood Diseases |
| Content Type | Text |
| Resource Type | Article |
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