{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:50:06Z","timestamp":1786978206690,"version":"build-2736575974"},"reference-count":45,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2018,3,15]],"date-time":"2018-03-15T00:00:00Z","timestamp":1521072000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003977","name":"Israel Science Foundation","doi-asserted-by":"publisher","award":["ISF 1337\/14"],"award-info":[{"award-number":["ISF 1337\/14"]}],"id":[{"id":"10.13039\/501100003977","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>\n                      This study aims to develop and test a new computer\u2010aided detection (\n                      <jats:styled-content style=\"fixed-case\">CAD<\/jats:styled-content>\n                      ) approach and scheme, assessing the likelihood of a subject harboring breast abnormalities.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The proposed scheme is based on the analysis of both local and global bilateral mammographic feature asymmetries. The level of local or global asymmetry is assessed by analyzing mammographic features extracted from the bilaterally matched regions of interest (\n                      <jats:styled-content style=\"fixed-case\">ROI<\/jats:styled-content>\n                      s), or from the entire breast, respectively. The selected local and global feature vectors are combined and classified using a maximum likelihood obtained from a na\u00efve Bayes classifier. This scheme was evaluated using a leave\u2010one\u2010case\u2010out cross\u2010validation method that was applied to 243 subjects from mini\u2010\n                      <jats:styled-content style=\"fixed-case\">MIAS<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">IN<\/jats:styled-content>\n                      breast databases. In addition, the result is compared with a conventional unilateral (or single) image\u2010based\n                      <jats:styled-content style=\"fixed-case\">CAD<\/jats:styled-content>\n                      scheme.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Using a case\u2010based evaluation approach and an area under curve (\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      ) of the receiver operating characteristic (\n                      <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>\n                      ) as a performance index, the new scheme yielded\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      \u00a0=\u00a00.79\u00a0\u00b1\u00a00.07, an 8.2% increase compared with\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      \u00a0=\u00a00.73\u00a0\u00b1\u00a00.08 obtained using the unilateral image\u2010based\n                      <jats:styled-content style=\"fixed-case\">CAD<\/jats:styled-content>\n                      scheme.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      This work demonstrates that applying bilateral asymmetry analysis increases the discriminatory power of\n                      <jats:styled-content style=\"fixed-case\">CAD<\/jats:styled-content>\n                      schemes while optimizing the likelihood assessment of breast abnormalities presence. Therefore, the proposed\n                      <jats:styled-content style=\"fixed-case\">CAD<\/jats:styled-content>\n                      approach provides the radiologist with beneficial supplementary information and can indicate high\u2010risk cases.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.12806","type":"journal-article","created":{"date-parts":[[2018,2,12]],"date-time":"2018-02-12T09:36:39Z","timestamp":1518428199000},"page":"1459-1470","source":"Crossref","is-referenced-by-count":11,"title":["A new computer\u2010aided detection approach based on analysis of local and global mammographic feature asymmetry"],"prefix":"10.1002","volume":"45","author":[{"given":"Adam","family":"Kelder","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering Ben\u2010Gurion University of the Negev Beer\u2010Sheva Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dror","family":"Lederman","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Ben\u2010Gurion University of the Negev Beer\u2010Sheva Israel"},{"name":"Department of Electrical Engineering Holon Institute of Technology Holon Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering University of Oklahoma Norman OK USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaniv","family":"Zigel","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Ben\u2010Gurion University of the Negev Beer\u2010Sheva Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,3,15]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21208"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2333031484"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1370\/afm.1466"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.174.6.1741769"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djr206"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djh067"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2014.05.018"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.2237476"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2010.06.009"},{"key":"e_1_2_9_11_1","first-page":"6394","article-title":"A new computer\u2010aided detection scheme based on assessment of local bilateral mammographic feature asymmetry\u2010a preliminary evaluation","volume":"1","author":"Kelder A","year":"2015","journal-title":"Eng Med Biol Soc"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiographics.22.1.g02ja2219"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1136\/jms.6.3.152"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2007.04.007"},{"key":"e_1_2_9_15_1","first-page":"267","article-title":"Detection of masses in mammograms using texture features","volume":"2","author":"Bovis K","year":"2000","journal-title":"ICPR"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.952732"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.2712461"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2010.05.016"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2011.03.001"},{"key":"e_1_2_9_20_1","doi-asserted-by":"crossref","unstructured":"2011 X Wang D Lederman J Tan XH Wang B Zheng Computerized prediction of breast cancer risk: comparison between the global and local bilateral mammographic tissue asymmetry 79631L","DOI":"10.1117\/12.876816"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2365436"},{"key":"e_1_2_9_22_1","first-page":"375","article-title":"The mammographic image analysis society digital mammogram database","volume":"1","author":"Suckling J","year":"1994","journal-title":"Exerpta Medica. 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