{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T15:08:28Z","timestamp":1743001708016,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031253119"},{"type":"electronic","value":"9783031253126"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-25312-6_48","type":"book-chapter","created":{"date-parts":[[2023,2,9]],"date-time":"2023-02-09T18:47:24Z","timestamp":1675968444000},"page":"411-418","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Clinical Decision Support Tool for the Identification of Pathological Structures Associated with Age-Related Macular Degeneration"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0798-8165","authenticated-orcid":false,"given":"Iv\u00e1n","family":"Barrientos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2050-3786","authenticated-orcid":false,"given":"Joaquim","family":"de Moura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0125-3064","authenticated-orcid":false,"given":"Jorge","family":"Novo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2798-0788","authenticated-orcid":false,"given":"Marcos","family":"Ortega","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6881-0865","authenticated-orcid":false,"given":"Manuel G.","family":"Penedo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,10]]},"reference":[{"key":"48_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1007\/978-3-319-68548-9_42","volume-title":"Image Analysis and Processing - ICIAP 2017","author":"S Baamonde","year":"2017","unstructured":"Baamonde, S., de Moura, J., Novo, J., Rouco, J., Ortega, M.: Feature definition and selection for epiretinal membrane characterization in optical coherence tomography images. In: Battiato, S., Gallo, G., Schettini, R., Stanco, F. (eds.) ICIAP 2017. LNCS, vol. 10485, pp. 456\u2013466. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68548-9_42"},{"key":"48_CR2","doi-asserted-by":"crossref","unstructured":"de Moura, J., Vidal, P.L., Novo, J., Rouco, J., Ortega, M.: Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography. Procedia Comput. Sci. 112, 1369\u20131377 (2017)","DOI":"10.1016\/j.procs.2017.08.043"},{"key":"48_CR3","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.procs.2019.09.205","volume":"159","author":"M D\u00edaz","year":"2019","unstructured":"D\u00edaz, M., de Moura, J., Novo, J., Ortega, M.: Automatic wide field registration and mosaicking of OCTA images using vascularity information. Procedia Comput. Sci. 159, 505\u2013513 (2019)","journal-title":"Procedia Comput. Sci."},{"key":"48_CR4","doi-asserted-by":"crossref","unstructured":"D\u00edaz, M., Novo, J., Cutr\u00edn, P., G\u00f3mez-Ulla, F., Penedo, M.G., Ortega, M.: Automatic segmentation of the foveal avascular zone in ophthalmological OCT-A images. PLoS One 14(2), e0212364 (2019)","DOI":"10.1371\/journal.pone.0212364"},{"key":"48_CR5","doi-asserted-by":"crossref","unstructured":"Fang, L., Cunefare, D., Wang, C., Guymer, R.H., Li, S., Farsiu, S.: Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. Biomed. Opt. Express 8(5), 2732\u20132744 (2017)","DOI":"10.1364\/BOE.8.002732"},{"issue":"2","key":"48_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2019.e01271","volume":"5","author":"A Gonz\u00e1lez-L\u00f3pez","year":"2019","unstructured":"Gonz\u00e1lez-L\u00f3pez, A., de Moura, J., Novo, J., Ortega, M., Penedo, M.G.: Robust segmentation of retinal layers in optical coherence tomography images based on a multistage active contour model. Heliyon 5(2), e01271 (2019)","journal-title":"Heliyon"},{"key":"48_CR7","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4700\u20134708 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"48_CR8","doi-asserted-by":"crossref","unstructured":"Kermany, D.S., et al.: Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell 172(5), 1122\u20131131 (2018)","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"48_CR9","doi-asserted-by":"crossref","unstructured":"Linderman, R., Salmon, A.E., Strampe, M., Russillo, M., Khan, J., Carroll, J.: Assessing the accuracy of foveal avascular zone measurements using optical coherence tomography angiography: segmentation and scaling. Transl. Vis. Sci. Technol. 6(3), 16 (2017)","DOI":"10.1167\/tvst.6.3.16"},{"key":"48_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-59773-7_1","volume-title":"Biomedical Applications Based on Natural and Artificial Computing","author":"J de Moura","year":"2017","unstructured":"de Moura, J., Novo, J., Rouco, J., Penedo, M.G., Ortega, M.: Automatic detection of blood vessels in retinal OCT images. In: Ferr\u00e1ndez Vicente, J.M., \u00c1lvarez-S\u00e1nchez, J.R., de la Paz L\u00f3pez, F., Toledo Moreo, J., Adeli, H. (eds.) IWINAC 2017. LNCS, vol. 10338, pp. 3\u201310. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-59773-7_1"},{"key":"48_CR11","doi-asserted-by":"crossref","unstructured":"Niemeijer, M., Garvin, M.K., van Ginneken, B., Sonka, M., Abramoff, M.D.: Vessel segmentation in 3D spectral OCT scans of the retina. In: Medical Imaging 2008: Image Processing, vol. 6914, pp. 597\u2013604. SPIE (2008)","DOI":"10.1117\/12.772680"},{"key":"48_CR12","doi-asserted-by":"crossref","unstructured":"Sandhu, H.S., et al.: Automated diagnosis of diabetic retinopathy using clinical biomarkers, optical coherence tomography, and optical coherence tomography angiography. Am. J. Ophthalmol. 216, 201\u2013206 (2020)","DOI":"10.1016\/j.ajo.2020.01.016"}],"container-title":["Lecture Notes in Computer Science","Computer Aided Systems Theory \u2013 EUROCAST 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-25312-6_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,9]],"date-time":"2023-02-09T18:59:25Z","timestamp":1675969165000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-25312-6_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031253119","9783031253126"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-25312-6_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EUROCAST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Aided Systems Theory","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Las Palmas de Gran Canaria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 February 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 February 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eurocast2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eurocast2022.fulp.ulpgc.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}