Lokasi: Concavity Point and Skeleton Analysis Algorithm for Detection and Quantization in Heavily Clumped Red Blood Cells

Main Authors:	Ahmad, Izyani; Pattern Recognition Research Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia Bangi, Malaysia, Sheikh Abdullah, Siti Norul Huda; Pattern Recognition Research Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia Bangi, Malaysia, Raja Sabudin, Raja Zahratul Azma; Pathology Department, Universiti Kebangsaan Malaysia Medical Centre, Cheras, Malaysia.
Format:	Article info application/pdf eJournal
Bahasa:	eng
Terbitan:	International Journal on Advanced Science, Engineering and Information Technology , 2019
Subjects:	red blood cells Concavity Point-Skeleton Analysis (CP-SA) heavily clump red blood cells quantization thin blood smear
Online Access:	http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/7171 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/7171/pdf_1253

Koleksi	International Journal on Advanced Science, Engineering and Information Technology
Gedung	Indonesian Society for Knowledge and Human Development
Institusi	Indonesian Society for Knowledge and Human Development
Kota	-
Provinsi	DKI JAKARTA
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