TY - JOUR
T1 - Detection of acute lymphocyte leukemia using k-nearest neighbor algorithm based on shape and histogram features
AU - Purwanti, Endah
AU - Calista, Evelyn
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/6/7
Y1 - 2017/6/7
N2 - Leukemia is a type of cancer which is caused by malignant neoplasms in leukocyte cells. Leukemia disease which can cause death quickly enough for the sufferer is a type of acute lymphocyte leukemia (ALL). In this study, we propose automatic detection of lymphocyte leukemia through classification of lymphocyte cell images obtained from peripheral blood smear single cell. There are two main objectives in this study. The first is to extract featuring cells. The second objective is to classify the lymphocyte cells into two classes, namely normal and abnormal lymphocytes. In conducting this study, we use combination of shape feature and histogram feature, and the classification algorithm is k-nearest Neighbour with k variation is 1, 3, 5, 7, 9, 11, 13, and 15. The best level of accuracy, sensitivity, and specificity in this study are 90%, 90%, and 90%, and they were obtained from combined features of area-perimeter-mean-standard deviation with k=7.
AB - Leukemia is a type of cancer which is caused by malignant neoplasms in leukocyte cells. Leukemia disease which can cause death quickly enough for the sufferer is a type of acute lymphocyte leukemia (ALL). In this study, we propose automatic detection of lymphocyte leukemia through classification of lymphocyte cell images obtained from peripheral blood smear single cell. There are two main objectives in this study. The first is to extract featuring cells. The second objective is to classify the lymphocyte cells into two classes, namely normal and abnormal lymphocytes. In conducting this study, we use combination of shape feature and histogram feature, and the classification algorithm is k-nearest Neighbour with k variation is 1, 3, 5, 7, 9, 11, 13, and 15. The best level of accuracy, sensitivity, and specificity in this study are 90%, 90%, and 90%, and they were obtained from combined features of area-perimeter-mean-standard deviation with k=7.
UR - http://www.scopus.com/inward/record.url?scp=85028539737&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/853/1/012011
DO - 10.1088/1742-6596/853/1/012011
M3 - Conference article
AN - SCOPUS:85028539737
SN - 1742-6588
VL - 853
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012011
T2 - International Conference on Physical Instrumentation and Advanced Materials, ICPIAM 2016
Y2 - 27 October 2016
ER -
