{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:14:24Z","timestamp":1771467264966,"version":"3.50.1"},"reference-count":39,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T00:00:00Z","timestamp":1719273600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Faculty of Medical Sciences at the University of Kragujevac, Serbia","award":["JP 18\/22"],"award-info":[{"award-number":["JP 18\/22"]}]},{"name":"Faculty of Medical Sciences at the University of Kragujevac, Serbia","award":["451-03-47\/2023-01\/200111"],"award-info":[{"award-number":["451-03-47\/2023-01\/200111"]}]},{"name":"Ministry of Science, Technological Development, and Innovation of the Republic of Serbia","award":["JP 18\/22"],"award-info":[{"award-number":["JP 18\/22"]}]},{"name":"Ministry of Science, Technological Development, and Innovation of the Republic of Serbia","award":["451-03-47\/2023-01\/200111"],"award-info":[{"award-number":["451-03-47\/2023-01\/200111"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>This study focuses on developing a model for the precise determination of ultrasound image density and classification using convolutional neural networks (CNNs) for rapid, timely, and accurate identification of hypoxic-ischemic encephalopathy (HIE). Image density is measured by comparing two regions of interest on ultrasound images of the choroid plexus and brain parenchyma using the Delta E CIE76 value. These regions are then combined and serve as input to the CNN model for classification. The classification results of images into three groups (Normal, Moderate, and Intensive) demonstrate high model efficiency, with an overall accuracy of 88.56%, precision of 90% for Normal, 85% for Moderate, and 88% for Intensive. The overall F-measure is 88.40%, indicating a successful combination of accuracy and completeness in classification. This study is significant as it enables rapid and accurate identification of hypoxic-ischemic encephalopathy in newborns, which is crucial for the timely implementation of appropriate therapeutic measures and improving long-term outcomes for these patients. The application of such advanced techniques allows medical personnel to manage treatment more efficiently, reducing the risk of complications and improving the quality of care for newborns with HIE.<\/jats:p>","DOI":"10.3390\/diagnostics14131342","type":"journal-article","created":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T10:10:07Z","timestamp":1719310207000},"page":"1342","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Neurosonographic Classification in Premature Infants Receiving Omega-3 Supplementation Using Convolutional Neural Networks"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6844-2150","authenticated-orcid":false,"given":"Suzana","family":"Zivojinovic","sequence":"first","affiliation":[{"name":"Department of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, Serbia"},{"name":"Center for Neonatology, Pediatric Clinic, University Clinical Center Kragujevac, Zmaj Jovina 30, 34000 Kragujevac, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5629-6221","authenticated-orcid":false,"given":"Suzana","family":"Petrovic Savic","sequence":"additional","affiliation":[{"name":"Department for Production Engineering, Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7399-2480","authenticated-orcid":false,"given":"Tijana","family":"Prodanovic","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, Serbia"},{"name":"Center for Neonatology, Pediatric Clinic, University Clinical Center Kragujevac, Zmaj Jovina 30, 34000 Kragujevac, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0760-3931","authenticated-orcid":false,"given":"Nikola","family":"Prodanovic","sequence":"additional","affiliation":[{"name":"Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, Serbia"},{"name":"Clinic for Orthopaedic and Trauma Surgery, University Clinical Center Kragujevac, Zmaj Jovina 30, 34000 Kragujevac, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aleksandra","family":"Simovic","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, Serbia"},{"name":"Center for Neonatology, Pediatric Clinic, University Clinical Center Kragujevac, Zmaj Jovina 30, 34000 Kragujevac, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Goran","family":"Devedzic","sequence":"additional","affiliation":[{"name":"Department for Production Engineering, Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, 34000 Kragujevac, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dragana","family":"Savic","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, Serbia"},{"name":"Center for Neonatology, Pediatric Clinic, University Clinical Center Kragujevac, Zmaj Jovina 30, 34000 Kragujevac, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1007\/s00247-022-05285-y","article-title":"Rate of head ultrasound abnormalities at one month in very premature and extremely premature infants with normal initial screening ultrasound","volume":"52","author":"Liu","year":"2022","journal-title":"Pediatr. 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