{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T08:09:20Z","timestamp":1767168560410,"version":"build-2238731810"},"reference-count":44,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T00:00:00Z","timestamp":1689292800000},"content-version":"vor","delay-in-days":194,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:p>Exudate, an asymptomatic yellow deposit on retina, is among the primary characteristics of background diabetic retinopathy. Background diabetic retinopathy is a retinopathy related to high blood sugar levels which slowly affects all the organs of the body. The early detection of exudates aids doctors in screening the patients suffering from background diabetic retinopathy. A computer\u2010aided method proposed in the present work detects and then segments the exudates in the images of retina acquired using a digital fundus camera by (i) gradient method to trace the contour of exudates, (ii) marking the connected candidate pixels to remove false exudates pixels, and (iii) linking the edge pixels for the boundary extraction of exudates. The method is tested on 1307 retinal fundus images with varying characteristics. Six hundred and forty\u2010nine images were acquired from hospital and the remaining 658 from open\u2010source benchmark databases, namely, STARE, DRIVE MESSIDOR, DiaretDB1, and e\u2010Ophtha. The exudates segmentation method proposed in this research work results in the retinal fundus image\u2010based (i) accuracy of 98.04%, (ii) sensitivity of 95.345%, and (iii) specificity of 98.63%. The segmentation results for a number of exudates\u2010based evaluations depict the average (i) accuracy of 95.68%, (ii) sensitivity of 93.44%, and (iii) specificity of 97.22%. The substantial combined performance at image and exudates\u2010based evaluations proves the contribution of the proposed method in mass screening as well as treatment process of background diabetic retinopathy.<\/jats:p>","DOI":"10.1155\/2023\/4537253","type":"journal-article","created":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T19:35:07Z","timestamp":1689363307000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["[Retracted] Automated Detection and Segmentation of Exudates for the Screening of Background Retinopathy"],"prefix":"10.1155","volume":"2023","author":[{"given":"Jaskirat","family":"Kaur","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepti","family":"Mittal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4339-3791","authenticated-orcid":false,"given":"Sharaf","family":"Malebary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4155-884X","authenticated-orcid":false,"given":"Soumya Ranjan","family":"Nayak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7908-7126","authenticated-orcid":false,"given":"Devendra","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5113-0639","authenticated-orcid":false,"given":"Manoj","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Gagandeep","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simrandeep","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,7,14]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.27.5.1047"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1002\/9780470760147"},{"key":"e_1_2_10_3_2","first-page":"30459","article-title":"Diagnosing and ranking retinopathy disease level using diabetic fundus image recuperation approach","volume":"9","author":"Somasundaram S. 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