Automated segmentation and classification of unlabelled malaria parasites in red blood cells from phase contrast images
An automated method for detection of unlabelled malaria parasites in red blood cells is presented. From phase-constrast microscopy images of live red blood cells, the proposed algorithm segments red blood cells and classifies them into uninfected and infected cells. This approach can be used to o...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/10356/68682 |
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| Institution: | Nanyang Technological University |
| Language: | English |