Geometric Feature Extraction for Identification and Classification of the Overlapping Cells for Leukaemia
Overlapping cell identification and classification of microscopic blood cell image is proposed to increase the accuracy of the number of automated counting and the percentage of the overall accuracy. The accurate identification of overlapping cells can increase the accuracy of cell counting for dia...
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| Format: | Thesis |
| Language: | English English English |
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Universiti Malaysia Sarawak (UNIMAS)
2018
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| Online Access: | http://ir.unimas.my/id/eprint/26606/ |
| Abstract | Abstract here |