Geometric Feature Extraction for Identification and Classification of Overlapping Cells for Leukaemia
This paper describes the study of overlapping leukaemia cells based on geometric features for identification and classification. Geometric features of blood cells are proposed to identify and classify overlapping cells into groups based on different overlapping degrees and the number of overlappe...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/40874/1/Geometric%20Feature%20Extraction%20-%20Copy.pdf http://ir.unimas.my/id/eprint/40874/ https://www.mdpi.com/2673-7426/2/2/15 https://doi.org/10.3390/biomedinformatics2020015 |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |