{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T23:08:37Z","timestamp":1782688117387,"version":"3.54.5"},"reference-count":19,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>The Chagas disease is a potentially life-threatening illness caused by the protozoan parasite,<jats:italic>Trypanosoma cruzi.<\/jats:italic>Visual detection of such parasite through microscopic inspection is a tedious and time-consuming task. In this paper, we provide an AdaBoost learning solution to the task of Chagas parasite detection in blood images. We give details of the algorithm and our experimental setup. With this method, we get 100% and 93.25% of sensitivity and specificity, respectively. A ROC comparison with the method most commonly used for the detection of malaria parasites based on support vector machines (SVM) is also provided. Our experimental work shows mainly two things: (1) Chagas parasites can be detected automatically using machine learning methods with high accuracy and (2) AdaBoost + SVM provides better overall detection performance than AdaBoost or SVMs alone. Such results are the best ones known so far for the problem of automatic detection of Chagas parasites through the use of machine learning, computer vision, and image processing methods.<\/jats:p>","DOI":"10.1155\/2015\/139681","type":"journal-article","created":{"date-parts":[[2015,3,11]],"date-time":"2015-03-11T21:01:27Z","timestamp":1426107687000},"page":"1-13","source":"Crossref","is-referenced-by-count":25,"title":["Chagas Parasite Detection in Blood Images Using AdaBoost"],"prefix":"10.1155","volume":"2015","author":[{"given":"V\u00edctor","family":"Uc-Cetina","sequence":"first","affiliation":[{"name":"Facultad de Matem\u00e1ticas, Universidad Aut\u00f3noma de Yucat\u00e1n, Anillo Perif\u00e9rico Norte, Tablaje Catastral, 13615 M\u00e9rida, YUC, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"Brito-Loeza","sequence":"additional","affiliation":[{"name":"Facultad de Matem\u00e1ticas, Universidad Aut\u00f3noma de Yucat\u00e1n, Anillo Perif\u00e9rico Norte, Tablaje Catastral, 13615 M\u00e9rida, YUC, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hugo","family":"Ruiz-Pi\u00f1a","sequence":"additional","affiliation":[{"name":"Centro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Aut\u00f3noma de Yucat\u00e1n, Avenida, Itz\u00e1es No. 490 x 59, Colonia Centro, 97000 M\u00e9rida, YUC, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"98","reference":[{"key":"12","year":"2010"},{"key":"11","volume-title":"Trypanosoma species (American trypanosomiasis, Chagas\u2019 disease): biology of trypanosomes","year":"2009"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1128\/jcm.43.10.5065-5068.2005"},{"issue":"3","key":"3","first-page":"7","volume":"38","year":"2005","journal-title":"Revista da Sociedade Brasileira de Medicina Tropical"},{"key":"27","first-page":"6","volume":"8","year":"2013","journal-title":"Abstraction and Application"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2013.07.013"},{"issue":"2","key":"10","first-page":"97","volume":"5","year":"2011","journal-title":"International Journal of Biometrics and Bioinformatics"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2008.11.005"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/s0262-8856(01)00092-0"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-006-0044-2"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.mimet.2006.05.017"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1186\/1475-2875-10-364"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/10.536902"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(83)90010-9"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1023\/b:visi.0000013087.49260.fb"},{"key":"28","year":"1998"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1039\/c004829a"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-45528-0"},{"key":"25","year":"1999"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2015\/139681.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2015\/139681.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2015\/139681.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,8,18]],"date-time":"2016-08-18T12:49:19Z","timestamp":1471524559000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2015\/139681\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":19,"alternative-id":["139681","139681"],"URL":"https:\/\/doi.org\/10.1155\/2015\/139681","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}