TY - GEN
T1 - Comparison of red blood cells counting using two algorithms
T2 - 2008 IEEE PhotonicsGlobal at Singapore, IPGC 2008
AU - Nasution, A. M.T.
AU - Suryaningtyas, E. K.
PY - 2008
Y1 - 2008
N2 - Accurate determination of the number of red blood (RBCs) is important, which leads to correct diagnosis to the. In this paper a comparison of counting procedure using different algorithms is reported. They are the connected labeling, based on morphological processing, and the back-projection of artificial neural network. The comparison is on 23 images of blood samples taken from hematological system which is equipped with a Panasonic CCTV. Results are then benchmarked using a hematology Sysmex KX-21. Counting accuracies of 87,74 % and 86.97 % are obtained for the respective compared algorithms.
AB - Accurate determination of the number of red blood (RBCs) is important, which leads to correct diagnosis to the. In this paper a comparison of counting procedure using different algorithms is reported. They are the connected labeling, based on morphological processing, and the back-projection of artificial neural network. The comparison is on 23 images of blood samples taken from hematological system which is equipped with a Panasonic CCTV. Results are then benchmarked using a hematology Sysmex KX-21. Counting accuracies of 87,74 % and 86.97 % are obtained for the respective compared algorithms.
UR - http://www.scopus.com/inward/record.url?scp=67649644476&partnerID=8YFLogxK
U2 - 10.1109/IPGC.2008.4781402
DO - 10.1109/IPGC.2008.4781402
M3 - Conference contribution
AN - SCOPUS:67649644476
SN - 9781424429059
T3 - 2008 IEEE PhotonicsGlobal at Singapore, IPGC 2008
BT - 2008 IEEE PhotonicsGlobal at Singapore, IPGC 2008
Y2 - 8 December 2008 through 11 December 2008
ER -