{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T15:20:09Z","timestamp":1768922409839,"version":"3.49.0"},"reference-count":0,"publisher":"Press of International Journal of Ophthalmology (IJO Press)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Ophthalmol"],"published-print":{"date-parts":[[2024,10,18]]},"abstract":"<jats:p>AIM: To develop an automated model for subfoveal choroidal thickness (SFCT) detection in optical coherence tomography (OCT) images, addressing manual fovea location and choroidal contour challenges.\nMETHODS: Two procedures were proposed: defining the fovea and segmenting the choroid. Fovea localization from B-scan OCT image sequence with three-dimensional reconstruction (LocBscan-3D) predicted fovea location using central foveal depression features, and fovea localization from two-dimensional en-face OCT (LocEN-2D) used a mask region-based convolutional neural network (Mask R-CNN) model for optic disc detection, and determined the fovea location based on optic disc relative position. Choroid segmentation also employed Mask R-CNN.\nRESULTS: For 53 eyes in 28 healthy subjects, LocBscan-3D\u2019s mean difference between manual and predicted fovea locations was 170.0 \u03bcm, LocEN-2D yielded 675.9 \u03bcm. LocEN-2D performed better in non-high myopia group (P=0.02). SFCT measurements from Mask R-CNN aligned with manual values.\nCONCLUSION: Our models accurately predict SFCT in OCT images. LocBscan-3D excels in precise fovea localization even with high myopia. LocEN-2D shows high detection rates but lower accuracy especially in the high myopia group. Combining both models offers a robust SFCT assessment approach, promising efficiency and accuracy for large-scale studies and clinical use.<\/jats:p>","DOI":"10.18240\/ijo.2024.10.01","type":"journal-article","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T06:53:24Z","timestamp":1726642404000},"page":"1763-1771","source":"Crossref","is-referenced-by-count":2,"title":["Automatic fovea detection and choroid segmentation for choroidal thickness assessment in optical coherence tomography"],"prefix":"10.18240","volume":"17","author":[{"name":"Department of Ophthalmology, Taichung Veterans General Hospital, Taichung 407, Taiwan, China","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen Yu","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi Kit","family":"Chan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Department of Computer Science, Tunghai University, Taichung 407, Taiwan, China","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei Ping","family":"Hsia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Department of Ophthalmology, Taichung Veterans General Hospital, Taichung 407, Taiwan, China","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu Len","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Department of Computer Science, Tunghai University, Taichung 407, Taiwan, China","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chia Jen","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Department of Ophthalmology, Taichung Veterans General Hospital, Taichung 407, Taiwan, China","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7543","container-title":["International Journal of Ophthalmology"],"original-title":[],"link":[{"URL":"http:\/\/ies.ijo.cn\/en_publish\/2024\/10\/20241001.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T06:53:25Z","timestamp":1726642405000},"score":1,"resource":{"primary":{"URL":"http:\/\/ies.ijo.cn\/gjyken\/ch\/reader\/view_abstract.aspx?file_no=20241001&flag=1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,18]]},"references-count":0,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,10,18]]}},"URL":"https:\/\/doi.org\/10.18240\/ijo.2024.10.01","relation":{},"ISSN":["2222-3959","2227-4898"],"issn-type":[{"value":"2222-3959","type":"print"},{"value":"2227-4898","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,18]]}}}