Geometric Feature Extraction for Identification and Classification of Overlapping Cells for Leukaemia

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.

[img] PDF
Geometric Feature.pdf

Download (952kB)

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

Actions (For repository members only: login required)

View Item View Item