{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:47:57Z","timestamp":1760237277539,"version":"build-2065373602"},"reference-count":58,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T00:00:00Z","timestamp":1585872000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["DTS18\/00136"],"award-info":[{"award-number":["DTS18\/00136"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014440","name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","doi-asserted-by":"publisher","award":["DPI2015-69948-R","RTI2018-095894-B-I00"],"award-info":[{"award-number":["DPI2015-69948-R","RTI2018-095894-B-I00"]}],"id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010801","name":"Xunta de Galicia","doi-asserted-by":"publisher","award":["ED431C 2016-047","ED481A-2019\/196"],"award-info":[{"award-number":["ED431C 2016-047","ED481A-2019\/196"]}],"id":[{"id":"10.13039\/501100010801","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Optical Coherence Tomography (OCT) has become a relevant image modality in the ophthalmological clinical practice, as it offers a detailed representation of the eye fundus. This medical imaging modality is currently one of the main means of identification and characterization of intraretinal cystoid regions, a crucial task in the diagnosis of exudative macular disease or macular edema, among the main causes of blindness in developed countries. This work presents an exhaustive analysis of intensity and texture-based descriptors for its identification and classification, using a complete set of 510 texture features, three state-of-the-art feature selection strategies, and seven representative classifier strategies. The methodology validation and the analysis were performed using an image dataset of 83 OCT scans. From these images, 1609 samples were extracted from both cystoid and non-cystoid regions. The different tested configurations provided satisfactory results, reaching a mean cross-validation test accuracy of 92.69%. The most promising feature categories identified for the issue were the Gabor filters, the Histogram of Oriented Gradients (HOG), the Gray-Level Run-Length matrix (GLRL), and the Laws\u2019 texture filters (LAWS), being consistently and considerably selected along all feature selector algorithms in the top positions of different relevance rankings.<\/jats:p>","DOI":"10.3390\/s20072004","type":"journal-article","created":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T05:55:16Z","timestamp":1585893316000},"page":"2004","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Intraretinal Fluid Pattern Characterization in Optical Coherence Tomography Images"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2050-3786","authenticated-orcid":false,"given":"Joaquim","family":"de Moura","sequence":"first","affiliation":[{"name":"Centro de investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"Grupo VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6009-4737","authenticated-orcid":false,"given":"Pl\u00e1cido L.","family":"Vidal","sequence":"additional","affiliation":[{"name":"Centro de investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"Grupo VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}]},{"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":"Grupo VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4407-9091","authenticated-orcid":false,"given":"Jos\u00e9","family":"Rouco","sequence":"additional","affiliation":[{"name":"Centro de investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"Grupo VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}]},{"given":"Manuel G.","family":"Penedo","sequence":"additional","affiliation":[{"name":"Centro de investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"Grupo VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}]},{"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":"Grupo VARPA, Instituto de Investigaci\u00f3n Biom\u00e9dica de A Coru\u00f1a (INIBIC), Universidade da Coru\u00f1a, 15006 A Coru\u00f1a, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,3]]},"reference":[{"key":"ref_1","first-page":"807","article-title":"Optic disc segmentation by means of GA-Optimized Topological Active Nets","volume":"5112","author":"Novo","year":"2008","journal-title":"Lect. 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