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Title of Journal: Med Biol Eng Comput

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Abbravation: Medical & Biological Engineering & Computing

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Springer Berlin Heidelberg

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DOI

10.1016/0006-291x(86)90384-0

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1741-0444

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Effective identification and localization of immat

Authors: Guitao Cao Ling Li Weiting Chen Yehua Yu Jun Shi Guixu Zhang Xuehua Liu
Publish Date: 2014/11/28
Volume: 53, Issue: 3, Pages: 215-226
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Abstract

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 computeraided 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

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