000168212 001__ 168212
000168212 005__ 20260128162438.0
000168212 0247_ $$2doi$$a10.1002/ima.70282
000168212 0248_ $$2sideral$$a147722
000168212 037__ $$aART-2026-147722
000168212 041__ $$aeng
000168212 100__ $$aRuiz-Tabuenca, Carlos
000168212 245__ $$aAutomatic segmentation of the outer and inner foveal avascular zone by convolutional filters
000168212 260__ $$c2026
000168212 5060_ $$aAccess copy available to the general public$$fUnrestricted
000168212 5203_ $$aIn this paper a new algorithm for segmentation of the foveal avascular zone in optical coherence tomography angiography images of the superficial capillary plexus is presented and evaluated. The algorithm is based on convolutional techniques, and for evaluation it has been compared with a collection of manual segmentations. Besides its performance, the main novelty presented is the ability to distinguish the purely avascular zone from the transitional environment whose importance has been recently pointed out. Its capability has been tested on images of patients with different types of diabetes mellitus, obtaining error rates between 1% and 1.5%. In addition, statistical data is shown for the segmented areas (including the transition zone, which had never been studied before) as a function of the type of diabetes. Moreover, a linear trend in outer and inner axis ratios is also observed. Overall, the algorithm represents a new approach in the analysis of optical coherence tomography angiography images, offering clinicians a new and reliable tool for objective foveal avascular zone segmentation of the superficial capillary plexus. Both the code and the dataset used are also made public in the cited repositories.
000168212 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es
000168212 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000168212 700__ $$0(orcid)0000-0003-0349-9997$$aPinilla, Isabel$$uUniversidad de Zaragoza
000168212 700__ $$0(orcid)0000-0003-2710-1875$$aOrduna-Hospital, Elvira$$uUniversidad de Zaragoza
000168212 700__ $$0(orcid)0000-0002-6048-310X$$aSalgado-Remacha, Francisco Javier$$uUniversidad de Zaragoza
000168212 7102_ $$12002$$2385$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Física Aplicada
000168212 7102_ $$11013$$2646$$aUniversidad de Zaragoza$$bDpto. Cirugía$$cÁrea Oftalmología
000168212 7102_ $$12002$$2647$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Óptica
000168212 773__ $$g36, 1 (2026), e70282 [9 pp.]$$pInt. j. imaging syst. technol.$$tINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY$$x0899-9457
000168212 8564_ $$s1458643$$uhttps://zaguan.unizar.es/record/168212/files/texto_completo.pdf$$yVersión publicada
000168212 8564_ $$s2581664$$uhttps://zaguan.unizar.es/record/168212/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000168212 909CO $$ooai:zaguan.unizar.es:168212$$particulos$$pdriver
000168212 951__ $$a2026-01-28-15:37:58
000168212 980__ $$aARTICLE