Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images.
Peripheral blood smear analysis plays a vital role in diagnosing many diseases including cancer. Leukemia is a type of cancer which begins in bone marrow and results in increased number of white blood cells in peripheral blood. Unusual variations in appearance of white blood cells indicate leukemia....
| Publicado en: | Journal of Digital Imaging Vol. 33; no. 2; pp. 361 - 375 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142764023&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142764023 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2020 vid: 33 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142764023 142764023 142764023 10.1007/s10278-019-00288-y 142764023 ppf: 361 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images. aug: au: Hegde, Roopa B. Prasad, Keerthana Hebbar, Harishchandra Singh, Brij Mohan Kumar Sandhya, I affil: Manipal School of Information Sciences, MAHE, 576104, Manipal, India sug: subj: Automation Decision Support Systems, Clinical Image Processing, Computer Assisted Hematologic Tests Leukemia Diagnosis Human Staining and Labeling Leukocyte Count Validity ab: Peripheral blood smear analysis plays a vital role in diagnosing many diseases including cancer. Leukemia is a type of cancer which begins in bone marrow and results in increased number of white blood cells in peripheral blood. Unusual variations in appearance of white blood cells indicate leukemia. In this paper, an automated method for detection of leukemia using image processing approach is proposed. In the present study, 1159 images of different brightness levels and color shades were acquired from Leishman stained peripheral blood smears. SVM classifier was used for classification of white blood cells into normal and abnormal, and also for detection of leukemic WBCs from the abnormal class. Classification of the normal white blood cells into five sub-types was performed using NN classifier. Overall classification accuracy of 98.8% was obtained using the combination of NN and SVM. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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