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These candidates are then confirmed by using circular Hough transform (CHT). In their test, the authors have achieved precision, recall, and F1 score of 96%, 90%, and 92%, respectively with lung segmentation. Compared to state-of-the-art work, their technique excels performance in terms of both detection accuracy and computational time.<\/p>","DOI":"10.4018\/ijcvip.2017040103","type":"journal-article","created":{"date-parts":[[2017,6,19]],"date-time":"2017-06-19T16:04:05Z","timestamp":1497888245000},"page":"36-49","source":"Crossref","is-referenced-by-count":13,"title":["Foreign Circular Element Detection in Chest X-Rays for Effective Automated Pulmonary Abnormality Screening"],"prefix":"10.4018","volume":"7","author":[{"given":"Fatema Tuz","family":"Zohora","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of South Dakota, Vermillion, SD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.C.","family":"Santosh","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of South Dakota, Vermillion, SD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJCVIP.2017040103-0","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(98)00160-7"},{"key":"IJCVIP.2017040103-1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-52159-6_1"},{"issue":"2","key":"IJCVIP.2017040103-2","first-page":"577","article-title":"Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration","volume":"33","author":"S.Candemir","year":"2014","journal-title":"IEEE Transactions on"},{"key":"IJCVIP.2017040103-3","doi-asserted-by":"crossref","unstructured":"Canny, J. 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