{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T01:37:48Z","timestamp":1775871468622,"version":"3.50.1"},"publisher-location":"Wiesbaden","reference-count":8,"publisher":"Springer Fachmedien Wiesbaden","isbn-type":[{"value":"9783658253257","type":"print"},{"value":"9783658253264","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-658-25326-4_2","type":"book-chapter","created":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T01:42:34Z","timestamp":1549417354000},"page":"2-7","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automatic Detection of Blood Vessels in Optical Coherence Tomography Scans"],"prefix":"10.1007","author":[{"given":"Julia","family":"Hofmann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Melanie","family":"B\u00f6ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Szymon","family":"Gladysz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boris","family":"Jutzi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,2,7]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Wehbe H, Ruggeri M, Jiao S, et al. Automatic retinal blood vessel parameters calculation in spectral domain optical coherence tomography. Procs SPIE. 2007;6429:6429\u20131\u20137.","DOI":"10.1117\/12.702513"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Niemeijer M, Garvin MK, van B Ginneken, et al. Vessel segmentation in 3D spectral OCT scans of the retina. Procs SPIE. 2008;6914:6914\u20131\u20138.","DOI":"10.1117\/12.772680"},{"issue":"4","key":"2_CR3","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1109\/JBHI.2015.2440091","volume":"20","author":"Roberto Annunziata","year":"2016","unstructured":"Annunziata R, Garzelli A, Ballerini L, et al. Leveraging multiscale hessian-based enhancement with a novel exudate inpainting technique for retinal vessel segmentation. IEEE J Biomed Health Inform. 2016;20(4):1129\u201338.","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"2_CR4","unstructured":"Lee KM. Segmentations of the Intraretinal Surfaces, Optic Disc and Retinal Blood Vessels in 3D-OCT Scans. Iowa: Univ Iowa; 2009."},{"issue":"7","key":"2_CR5","doi-asserted-by":"publisher","first-page":"1478","DOI":"10.1364\/BOE.3.001478","volume":"3","author":"Matth\u00e4us Pilch","year":"2012","unstructured":"Pilch M, Wenner Y, Strohmayr E, et al. Automated segmentation of retinal blood vessels in spectral domain optical coherence tomography scans. Biomed Opt Expr. 2012;3(7):1478\u201391.","journal-title":"Biomedical Optics Express"},{"issue":"1","key":"2_CR6","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1109\/TMI.2015.2457891","volume":"35","author":"Qiaoliang Li","year":"2016","unstructured":"Li Q, Fengi B, Xie L, et al. A cross-modality learning approach for vessel segmentation in retinal images. IEEE Trans Med Imaging. 2016;35(1):109\u201318.","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"5","key":"2_CR7","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1364\/BOE.1.001358","volume":"1","author":"Markus A. Mayer","year":"2010","unstructured":"Mayer MA, Hornegger J, Mardin C, et al. Retinal nerve fiber layer segmentation on FD-OCT scans of normal subjects and glaucoma patients. Biomed Opt Expr. 2010;1(5):1358\u201383.","journal-title":"Biomedical Optics Express"},{"key":"2_CR8","unstructured":"Radon J. \u00dcber die Bestimmung von Funktionen durch Ihre Integralwerte L\u00e4ngs Geweisser Mannigfaltigkeiten. Berichte S\u00e4chsische Acad Wissenschaft Math Phys, Klass. 1917;69:262."}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2019"],"original-title":[],"language":"de","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-658-25326-4_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T06:01:01Z","timestamp":1558159261000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-658-25326-4_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783658253257","9783658253264"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-25326-4_2","relation":{},"ISSN":["1431-472X"],"issn-type":[{"value":"1431-472X","type":"print"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 February 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}