{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T11:43:02Z","timestamp":1792410182548,"version":"4.4.0"},"reference-count":30,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2016,3,15]],"date-time":"2016-03-15T00:00:00Z","timestamp":1458000000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2015,9,1]],"date-time":"2015-09-01T00:00:00Z","timestamp":1441065600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Lab Hematology"],"published-print":{"date-parts":[[2016,4]]},"abstract":"<jats:title>Summary<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>The objective was to advance in the automatic, image\u2010based, characterization and recognition of a heterogeneous set of lymphoid cells from peripheral blood, including normal, reactive, and five groups of abnormal lymphocytes: hairy cells, mantle cells, follicular lymphoma, chronic lymphocytic leukemia, and prolymphocytes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A number of 4389 images from 105 patients were selected by pathologists, based on morphologic visual appearance, from patients whose diagnosis was confirmed by all the remaining complementary tests. Besides geometry, new color and texture features were extracted using six alternative color spaces to obtain rich information to characterize the cell groups. The recognition system was designed using support vector machines trained with the whole image set.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In the experimental tests, individual sets of images from 21 new patients were analyzed by the trained recognition system and compared with the true diagnosis. An overall recognition accuracy of 97.67% was achieved when the cell screening was performed into three groups: normal lymphocytes, abnormal lymphoid cells, and reactive lymphocytes. The accuracy of the whole experimental study was 91.23% when considering the further discrimination of the abnormal lymphoid cells into the specific five groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The excellent automatic screening of the three groups of normal, reactive, and abnormal lymphocytes is useful as it discriminates between malignancy and not malignancy. The discrimination of the five groups of abnormal lymphoid cells is encouraging toward the idea that the system could be an automated image\u2010based screening method to identify blood involvement by a variety of B lymphomas.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijlh.12473","type":"journal-article","created":{"date-parts":[[2016,3,20]],"date-time":"2016-03-20T14:38:34Z","timestamp":1458484714000},"page":"209-219","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Characterization and automatic screening of reactive and abnormal neoplastic B lymphoid cells from peripheral blood"],"prefix":"10.1111","volume":"38","author":[{"given":"S.","family":"Alf\u00e9rez","sequence":"first","affiliation":[{"name":"Matematica Aplicada III Technical University of Catalonia Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Merino","sequence":"additional","affiliation":[{"name":"Department of Hemotherapy\u2010Hemostasis Hospital Clinic Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"Bigorra","sequence":"additional","affiliation":[{"name":"Matematica Aplicada III Technical University of Catalonia Barcelona Spain"},{"name":"Department of Hemotherapy\u2010Hemostasis Hospital Clinic Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Rodellar","sequence":"additional","affiliation":[{"name":"Matematica Aplicada III Technical University of Catalonia Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2016,3,15]]},"reference":[{"key":"e_1_2_5_2_1","first-page":"89","article-title":"The differential cell count","volume":"7","author":"Houwen B","year":"2001","journal-title":"Lab Hematol"},{"key":"e_1_2_5_3_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra043442"},{"key":"e_1_2_5_4_1","volume-title":"WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues","author":"Swerdlow SH","year":"2008"},{"key":"e_1_2_5_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1751-553X.2007.00975.x"},{"key":"e_1_2_5_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijlh.12327"},{"key":"e_1_2_5_7_1","doi-asserted-by":"publisher","DOI":"10.1136\/jcp.2005.035402"},{"key":"e_1_2_5_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1751-553X.2007.01002.x"},{"key":"e_1_2_5_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijlh.12201"},{"key":"e_1_2_5_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/4233.897058"},{"key":"e_1_2_5_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rti.2004.02.007"},{"key":"e_1_2_5_12_1","first-page":"2","article-title":"Ontology\u2010based lymphocyte population description using mathematical morphology on colour blood images","volume":"52","author":"Angulo J","year":"2006","journal-title":"Cell Mol Biol"},{"key":"e_1_2_5_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-007-0066-x"},{"key":"e_1_2_5_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2008.2008801"},{"key":"e_1_2_5_15_1","doi-asserted-by":"publisher","DOI":"10.1136\/jcp.2005.033787"},{"key":"e_1_2_5_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0272-2712(03)00073-8"},{"key":"e_1_2_5_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijlh.12175"},{"key":"e_1_2_5_18_1","doi-asserted-by":"publisher","DOI":"10.1309\/AJCP78IFSTOGZZJN"},{"key":"e_1_2_5_19_1","volume-title":"Digital Image Processing (3rd Edition)","author":"Gonzalez RC","year":"2007"},{"key":"e_1_2_5_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-45528-0"},{"key":"e_1_2_5_21_1","unstructured":"Alf\u00e9rezS.Methodology for Automatic Classification of Atypical Lymphoid Cells from Peripheral Blood Cell Images. 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