TY - GEN
T1 - Segmentation System of Acute Myeloid Leukemia (AML) Subtypes on Microscopic Blood Smear Image
AU - Khomairoh, Nur
AU - Sigit, Riyanto
AU - Harsono, Tri
AU - Hernaningsih, Yetti
AU - Anwar, Anwar
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - Leukemia is a blood cancer that attacks human white blood cells. This disease is divided into four types, including Acute Myeloid Leukemia (AML). AML is the most common type of acute leukemia, and it has eight types of subtypes distinguished by the level of cell maturation. Medical personnel determines the type of AML based on microscopic images of blood cell smears that contain white blood cells, red blood cells, and pieces of blood. This research builds a segmentation system that can determine the boundary of an object with the surrounding area, where the object sought is white blood cells contained in microscopic images of blood cell smears. White blood cells are sought based on ROI using the Haar Cascade Classifier, and then segmentation is carried out on the nucleus and cytoplasm. AML sub-Types used as objects in this study are M4, M5, and M7. Based on the results of experimental data on the segmentation system, the nucleus segmentation in each cell of M4, M5, and M7 with an accuracy of 87.5%, 90.4%, 84.6% in sequence, and the results of cytoplasm segmentation are 75%, 71.4%, and 80.76%, respectively.
AB - Leukemia is a blood cancer that attacks human white blood cells. This disease is divided into four types, including Acute Myeloid Leukemia (AML). AML is the most common type of acute leukemia, and it has eight types of subtypes distinguished by the level of cell maturation. Medical personnel determines the type of AML based on microscopic images of blood cell smears that contain white blood cells, red blood cells, and pieces of blood. This research builds a segmentation system that can determine the boundary of an object with the surrounding area, where the object sought is white blood cells contained in microscopic images of blood cell smears. White blood cells are sought based on ROI using the Haar Cascade Classifier, and then segmentation is carried out on the nucleus and cytoplasm. AML sub-Types used as objects in this study are M4, M5, and M7. Based on the results of experimental data on the segmentation system, the nucleus segmentation in each cell of M4, M5, and M7 with an accuracy of 87.5%, 90.4%, 84.6% in sequence, and the results of cytoplasm segmentation are 75%, 71.4%, and 80.76%, respectively.
KW - Acute Myeloid Leukemia
KW - Haar Cascade Classifier
KW - blood smear image
KW - segmentation
UR - http://www.scopus.com/inward/record.url?scp=85096784385&partnerID=8YFLogxK
U2 - 10.1109/IES50839.2020.9231651
DO - 10.1109/IES50839.2020.9231651
M3 - Conference contribution
AN - SCOPUS:85096784385
T3 - IES 2020 - International Electronics Symposium: The Role of Autonomous and Intelligent Systems for Human Life and Comfort
SP - 565
EP - 570
BT - IES 2020 - International Electronics Symposium
A2 - Yunanto, Andhik Ampuh
A2 - Hermawan, Hendhi
A2 - Mu'arifin, Mu'arifin
A2 - Muliawati, Tri Hadiah
A2 - Putra, Putu Agus Mahadi
A2 - Gamar, Farida
A2 - Ridwan, Mohamad
A2 - Kusuma N, Artiarini
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Electronics Symposium, IES 2020
Y2 - 29 September 2020 through 30 September 2020
ER -
