Effective identification and localization of immature precursors in bone marrow biopsy.
Abnormal localization of immature precursors (ALIP) aggregating and clustering in bone marrow biopsy appears earlier than that of bone marrow smears in detection of the relapse of acute myelocytic leukemia (AML). But traditional manual ALIP recognition has many shortcomings such as prone to false al...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 53; no. 3; pp. 215 - 227 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2015
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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=101005641&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 101005641 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Mar2015 vid: 53 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 101005641 101005641 NLM25430420 10.1007/s11517-014-1223-1 NLM25430420 101005641 ppf: 215 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Effective identification and localization of immature precursors in bone marrow biopsy. aug: au: Cao, Guitao Li, Ling Chen, Weiting Yu, Yehua Shi, Jun Zhang, Guixu Liu, Xuehua affil: Software Engineering Institute, East China Normal University, 3663 North Zhongshan Road Shanghai 200062 China sug: subj: Bone Marrow Pathology Young Adult Adult Adolescence Male Female Prognosis Aged Leukemia, Myeloid, Acute Pathology Biopsy Methods Case Control Studies Middle Age Adult: 19-44 years Adolescent: 13-18 years Aged: 65+ years Middle Aged: 45-64 years Male Female ab: Abnormal localization of immature precursors (ALIP) aggregating and clustering in bone marrow biopsy appears earlier than that of bone marrow smears in detection of the relapse of acute myelocytic leukemia (AML). But traditional manual ALIP recognition has many shortcomings such as prone to false alarms, neglect of distribution law before three immature precursor cells gathered, and qualitative analysis instead of quantitative one. So, it is very important to develop a novel automatic method to identify and localize immature precursor cells for computer-aided diagnosis, to disclose their patterns before ALIP with the development of AML. The contributions of this paper are as follows. (1) After preprocessing the image with Otsu method, we identify both precursor cells and trabecular bone by multiple morphological operations and thresholds. (2) We localize the precursors in different regions according to their distances with the nearest trabecular bone based on chamfer distance transform, followed by discussion for the presumptions and limitations of our method. The accuracy of recognition and localization is evaluated based on a comparison with visual evaluation by two blinded observers. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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