{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T15:57:00Z","timestamp":1782143820275,"version":"3.54.5"},"reference-count":39,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T00:00:00Z","timestamp":1574985600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Instituto de Salud Carlos III, Government of Spain and FEDER funds of the European Union","award":["DTS18\/00136"],"award-info":[{"award-number":["DTS18\/00136"]}]},{"name":"Ministerio de Econom\u00eda y Competitividad, Government of Spain through","award":["DPI2015-69948-R"],"award-info":[{"award-number":["DPI2015-69948-R"]}]},{"name":"European Union (European Regional Development Fund - ERDF) and the Xunta de Galicia, Centro singular de investigaci\u00f3n de Galicia accreditation 2016-2019","award":["ED431G\/01"],"award-info":[{"award-number":["ED431G\/01"]}]},{"name":"European Union (European Regional Development Fund - ERDF) and the Xunta de Galicia, Centro singular de investigaci\u00f3n de Galicia","award":["ED431C 2016-047"],"award-info":[{"award-number":["ED431C 2016-047"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Optical Coherence Tomography (OCT) is a medical image modality providing high-resolution cross-sectional visualizations of the retinal tissues without any invasive procedure, commonly used in the analysis of retinal diseases such as diabetic retinopathy or retinal detachment. Early identification of the epiretinal membrane (ERM) facilitates ERM surgical removal operations. Moreover, presence of the ERM is linked to other retinal pathologies, such as macular edemas, being among the main causes of vision loss. In this work, we propose an automatic method for the characterization and visualization of the ERM\u2019s presence using 3D OCT volumes. A set of 452 features is refined using the Spatial Uniform ReliefF (SURF) selection strategy to identify the most relevant ones. Afterwards, a set of representative classifiers is trained, selecting the most proficient model, generating a 2D reconstruction of the ERM\u2019s presence. Finally, a post-processing stage using a set of morphological operators is performed to improve the quality of the generated maps. To verify the proposed methodology, we used 20 3D OCT volumes, both with and without the ERM\u2019s presence, totalling 2428 OCT images manually labeled by a specialist. The most optimal classifier in the training stage achieved a mean accuracy of 91.9%. Regarding the post-processing stage, mean specificity values of 91.9% and 99.0% were obtained from volumes with and without the ERM\u2019s presence, respectively.<\/jats:p>","DOI":"10.3390\/s19235269","type":"journal-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T10:58:21Z","timestamp":1575025101000},"page":"5269","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Automatic Identification and Intuitive Map Representation of the Epiretinal Membrane Presence in 3D OCT Volumes"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5400-4088","authenticated-orcid":false,"given":"Sergio","family":"Baamonde","sequence":"first","affiliation":[{"name":"Centro de investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2050-3786","authenticated-orcid":false,"given":"Joaquim","family":"de Moura","sequence":"additional","affiliation":[{"name":"Centro de investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0125-3064","authenticated-orcid":false,"given":"Jorge","family":"Novo","sequence":"additional","affiliation":[{"name":"Centro de investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0124-7884","authenticated-orcid":false,"given":"Pablo","family":"Charl\u00f3n","sequence":"additional","affiliation":[{"name":"Instituto Oftalmol\u00f3gico Victoria de Rojas, 15009 A Coru\u00f1a, Spain"},{"name":"Hospital HM Rosaleda, 15701 Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2798-0788","authenticated-orcid":false,"given":"Marcos","family":"Ortega","sequence":"additional","affiliation":[{"name":"Centro de investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10200","DOI":"10.1364\/OPEX.13.010200","article-title":"Automated Detection of Retinal Layer Structures on Optical Coherence Tomography Images","volume":"13","author":"Salinas","year":"2005","journal-title":"Opt. 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