{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:58:58Z","timestamp":1780588738628,"version":"3.54.1"},"reference-count":31,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T00:00:00Z","timestamp":1711324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>Intracranial hemorrhage (ICH) resulting from traumatic brain injury is a serious issue, often leading to death or long-term disability if not promptly diagnosed. Currently, doctors primarily use Computerized Tomography (CT) scans to detect and precisely locate a hemorrhage, typically interpreted by radiologists. However, this diagnostic process heavily relies on the expertise of medical professionals. To address potential errors, computer-aided diagnosis systems have been developed. In this study, we propose a new method that enhances the localization and segmentation of ICH lesions in CT scans by using multiple images created through different data augmentation techniques. We integrate residual connections into a U-Net-based segmentation network to improve the training efficiency. Our experiments, based on 82 CT scans from traumatic brain injury patients, validate the effectiveness of our approach, achieving an IOU score of 0.807 \u00b1 0.03 for ICH segmentation using 10-fold cross-validation.<\/jats:p>","DOI":"10.3390\/jimaging10040077","type":"journal-article","created":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T14:00:23Z","timestamp":1711375223000},"page":"77","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["An Efficient CNN-Based Method for Intracranial Hemorrhage Segmentation from Computerized Tomography Imaging"],"prefix":"10.3390","volume":"10","author":[{"given":"Quoc Tuan","family":"Hoang","sequence":"first","affiliation":[{"name":"Faculty of Mechanical Engineering, Hung Yen University of Technology and Education, 39Rd., Hung Yen 160000, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan Hien","family":"Pham","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering, University of Transport and Communications, Hanoi 100000, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan Thang","family":"Trinh","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering, Hung Yen University of Technology and Education, 39Rd., Hung Yen 160000, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4804-7540","authenticated-orcid":false,"given":"Anh Vu","family":"Le","sequence":"additional","affiliation":[{"name":"Communication and Signal Processing Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0222-166X","authenticated-orcid":false,"given":"Minh V.","family":"Bui","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Technology, Nguyen Tat Thanh University, 300A, Nguyen Tat Thanh, Ward 13, District 4, Ho Chi Minh City 700000, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trung Thanh","family":"Bui","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering, Hung Yen University of Technology and Education, 39Rd., Hung Yen 160000, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1097\/00002727-200504000-00010","article-title":"Traumatic brain injury: A review","volume":"28","author":"Nolan","year":"2005","journal-title":"Crit. 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