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The computer scheme first uses image filtering, threshold, and labeling algorithms to segment and count the number of the suspicious \u201cchromosome,\u201d and then computes a feature vector for each \u201cdetected chromosome.\u201d Based on these features, a knowledge-based classifier is used to eliminate those \u201cnon-chromosome\u201d objects ( i.e., inter-phase cells, stain debris, and other kinds of background noises). Due to the possible overlap of the chromosomes, a classification criterion was used to identify the overlapped chromosomes and adjust the initially counted number of the total chromosomes in each image. In this preliminary study with 60 testing images (depicting metaphase chromosome cells) acquired from three pediatric patients, the computer scheme generated results matched with the diagnostic results provided by the clinical cytogeneticists. The results demonstrated the feasibility or potential of using a computerized method to replace the tedious and the reader-dependent diagnostic methods commonly used in genetic laboratories to date.<\/jats:p>","DOI":"10.1177\/153303460600500411","type":"journal-article","created":{"date-parts":[[2014,10,3]],"date-time":"2014-10-03T14:55:00Z","timestamp":1412348100000},"page":"429-436","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["A Computer-Aided Method to Expedite the Evaluation of Prognosis for Childhood Acute Lymphoblastic Leukemia"],"prefix":"10.1177","volume":"5","author":[{"given":"Xingwei","family":"Wang","sequence":"first","affiliation":[{"name":"Center for Bioengineering and School of Electrical and Computer Engineering University of Oklahoma Oklahoma, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shibo","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Pediatrics University of Oklahoma Medical Center Oklahoma City, OK, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Liu","sequence":"additional","affiliation":[{"name":"Center for Bioengineering and School of Electrical and Computer Engineering University of Oklahoma Oklahoma, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John J.","family":"Mulvihill","sequence":"additional","affiliation":[{"name":"Department of Pediatrics University of Oklahoma Medical Center Oklahoma City, OK, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Physics and Engineering University of Central Oklahoma Edmond, OK, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Radiology University of Pittsburgh Medical Center Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2006,8,1]]},"reference":[{"key":"bibr1-153303460600500411","doi-asserted-by":"publisher","DOI":"10.1634\/theoncologist.5-4-321"},{"key":"bibr2-153303460600500411","unstructured":"Conter V., Rizzari C., Sala A., Chiesea R., Citterio M., Biondi A. 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