Kiu, Siew Ming and Wang, Yin Chai (2018) Geometric Feature Extraction for Identification and Classification of Overlapping Cells for Leukaemia. In: INNOVATION TECHNOLOGY EXPO (INTEX) 2018 CON FERENCE, 17-18 July 2018, Kuching , Sarawak, Malaysia.
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Abstract
This paper is inte nded to assess [he feature ex trac lion te chnique for identificatIOn and c lassificatIon of whi le blood ce ll uue to ove rl app ing cond iti on in ieuka CI11IJ d isease. Accordi ng to the dala from SEER Cancer Stat istic s [ 1), leukaemia IS ont ofrhe lOp ten most common type s of blood ca ncer. In lhe year 20 17, there are {)2 130 peopl e are expec ted to be diagnosed and 24500 peop le 3re expected to di e. In ano ther word, app roxi mately (he re are I pe rso n is diagn osed with a bl ood ca ncer in every 3 minutes. Th esc da la have shown how hi gh the risk of le ukaemia to be d iagno sed. Therefore, an accurate Image process ing approa ch is proposed for cha gnosis leu k.tlcmia.
| Item Type: | Proceeding (Paper) |
|---|---|
| Uncontrolled Keywords: | Overlapping cells, Leukaemia, geometric, blood cancer, identification, microscopic image, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Gani |
| Date Deposited: | 04 Sep 2019 02:48 |
| Last Modified: | 16 Dec 2022 02:34 |
| URI: | http://ir.unimas.my/id/eprint/26738 |
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