Segmentation System of Acute Myeloid Leukemia (AML) Subtypes on Microscopic Blood Smear Image

2020 International Electronics Symposium (IES) Pub Date : 2020-09-01 DOI:10.1109/IES50839.2020.9231651

Nur Khomairoh, R. Sigit, T. Harsono, Y. Hernaningsih, A. Anwar

{"title":"Segmentation System of Acute Myeloid Leukemia (AML) Subtypes on Microscopic Blood Smear Image","authors":"Nur Khomairoh, R. Sigit, T. Harsono, Y. Hernaningsih, A. Anwar","doi":"10.1109/IES50839.2020.9231651","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Electronics Symposium (IES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IES50839.2020.9231651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

Abstract

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.

查看原文本刊更多论文

急性髓系白血病(AML)亚型显微血液涂片图像的分割系统

白血病是一种攻击人体白细胞的血癌。这种疾病分为四种类型，包括急性髓性白血病(AML)。AML是最常见的急性白血病类型，根据细胞成熟程度可分为8种亚型。医务人员根据含有白细胞、红细胞和血块的血细胞涂片的显微图像来确定AML的类型。本研究构建了一个分割系统，可以确定物体与周围区域的边界，其中寻找的物体是血细胞涂片显微图像中包含的白细胞。利用Haar级联分类器基于ROI寻找白细胞，然后对细胞核和细胞质进行分割。本研究使用的AML亚型为M4、M5和M7。根据分割系统的实验数据结果，M4、M5、M7每个细胞的细胞核分割准确率依次为87.5%、90.4%、84.6%，细胞质分割准确率分别为75%、71.4%、80.76%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2020 International Electronics Symposium (IES)

自引率

0.00%

发文量