RIM-ONE DL: A Unified Retinal Image Database for Assessing Glaucoma Using Deep Learning
- Silvia Alayon 1
- Tinguaro Diaz-Aleman 2
- Denisse Angel-Pereira 2
- Jose Sigut 1
- Rafael Arnay 1
- Francisco José Fumero Batista 1
- 1 Department of Computer Engineering and Systems, University of La Laguna
- 2 Servicio de Oftalmología, Hospital Universitario de Canarias
ISSN: 1854-5165
Ano de publicación: 2020
Volume: 39
Número: 3
Páxinas: 161-167
Tipo: Artigo
Outras publicacións en: Image Analysis & Stereology
Indicadores
Citas recibidas
JCR (Journal Impact Factor)
- Ano 2020
- Factor de impacto da revista: 0.682
- Factor de impacto sen autocitas: 0.545
- Article influence score: 0.147
- Cuartil maior: Q4
- Área: IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Cuartil: Q4 Posición na área: 28/29 (Edición: SCIE)
- Área: MATERIALS SCIENCE, MULTIDISCIPLINARY Cuartil: Q4 Posición na área: 313/334 (Edición: SCIE)
- Área: MATHEMATICS, APPLIED Cuartil: Q4 Posición na área: 239/265 (Edición: SCIE)
SCImago Journal Rank
- Ano 2020
- Impacto SJR da revista: 0.237
- Cuartil maior: Q3
- Área: Biotechnology Cuartil: Q3 Posición na área: 212/352
- Área: Computer Vision and Pattern Recognition Cuartil: Q3 Posición na área: 142/619
- Área: Signal Processing Cuartil: Q3 Posición na área: 173/741
- Área: Materials Science (miscellaneous) Cuartil: Q3 Posición na área: 391/696
- Área: Mathematics (miscellaneous) Cuartil: Q3 Posición na área: 322/471
- Área: Acoustics and Ultrasonics Cuartil: Q3 Posición na área: 35/83
- Área: Instrumentation Cuartil: Q3 Posición na área: 172/931
- Área: Radiology, Nuclear Medicine and Imaging Cuartil: Q4 Posición na área: 241/367
Scopus CiteScore
- Ano 2020
- CiteScore da revista: 1.8
- Área: Mathematics (all) Percentil: 73
- Área: Materials Science (miscellaneous) Percentil: 53
- Área: Acoustics and Ultrasonics Percentil: 47
- Área: Instrumentation Percentil: 35
- Área: Signal Processing Percentil: 34
- Área: Radiology, Nuclear Medicine and Imaging Percentil: 33
- Área: Computer Vision and Pattern Recognition Percentil: 33
- Área: Biotechnology Percentil: 32
Journal Citation Indicator (JCI)
- Ano 2020
- JCI da revista: 0.22
- Cuartil maior: Q4
- Área: IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Cuartil: Q4 Posición na área: 28/31
- Área: MATERIALS SCIENCE, MULTIDISCIPLINARY Cuartil: Q4 Posición na área: 315/384
- Área: MATHEMATICS, APPLIED Cuartil: Q4 Posición na área: 290/309
Referencias bibliográficas
- Borkar TS, Karam LJ (2019). DeepCorrect: Correcting DNN Models Against Image Distortions. IEEE T Image Process 28:6022–34.
- Decenciere E, Zhang X, Cazuguel G, Lay B, Cochener ` B, Trone C, Gain P, Ordonez R, Massin P, Erginay A, Charton B, Klein JC (2014). Feedback on a publicly distributed database: the Messidor database. Image Anal Stereol 33:231–4.
- Diaz-Pinto A, Morales S, Naranjo V, Kohler T, Mossi ¨JM, Navea A (2019). CNNs for automatic glaucoma assessment using fundus images: an extensive validation. Biomed Eng Online 18:1–19.
- Fumero F, Alayon S, Sanchez JL, Sigut J, GonzalezHernandez M (2011). RIM-ONE: An open retinal image database for optic nerve evaluation. In: 2011 24th International Symposium on ComputerBased Medical Systems (CBMS).
- Fumero F, Sigut J, Alayon S, Gonzalez-Hernandez M, Gonzalez de la Rosa M (2015). Interactive tool and database for optic disc and cup segmentation of stereo and monocular retinal fundus images. In: Short communications proceedings. Plzen, Czech Republic: Vaclav Skala - UNION Agency. ´
- Holm S, Russell G, Nourrit V, McLoughlin N (2017). DR HAGIS - a fundus image database for the automatic extraction of retinal surface vessels from diabetic patients. J Med Imaging Bellingham 4:1– 11.
- Odstrcilik J, Kolar R, Budai A, Hornegger J, Jan J, Gazarek J, Kubena T, Cernosek P, Svoboda O, Angelopoulou E (2013). Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database. IET Image Process 7:373–83.
- Orlando JI, Fu H, Barbosa Breda J, van Keer K, Bathula DR, Diaz-Pinto A, Fang R, Heng PA, Kim J, Lee J, Lee J, Li X, Liu P, Lu S, Murugesan B, Naranjo V, Phaye SSR, Shankaranarayana SM, Sikka A, Son J, van den Hengel A, Wang S, Wu J, Wu Z, Xu G, Xu Y, Yin P, Li F, Zhang X, Xu Y, Bogunovic H (2020). REFUGE Challenge: ´ A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Med Image Anal 59:101570.
- Orlando JI, van Keer K, Barbosa Breda J, Blaschko MB, Blanco P, Bulant CA (2018). Towards a glaucoma risk index based on simulated hemodynamics from fundus images. In: Frangi AF, Schnabel JA, Davatzikos C, Alberola-Lopez C, Fichtinger G, eds., Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Lecture Notes in Computer Science. Springer International Publishing, 65–73.
- Sivaswamy J, Krishnadas S, Datt Joshi G, Jain M, Syed Tabish A (2014). Drishti-GS: Retinal image dataset for optic nerve head (ONH) segmentation. In: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).
- Son J, Bae W, Kim S, Park SJ, Jung KH (2018). Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN. In: Stoyanov D, Taylor Z, Ciompi F, Xu Y, Martel A, Maier-Hein L, Rajpoot N, van der Laak J, Veta M, McKenna S, Snead D, Trucco E, Garvin MK, Chen XJ, Bogunovic H, eds., Computational Pathology and Ophthalmic Medical Image Analysis, Lecture Notes in Computer Science. Springer International Publishing, 176–84.
- Tham YC, Li X, Wong TY, Quigley HA, Aung T, Cheng CY (2014). Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and metaanalysis. Ophthalmology 121:2081–90.
- Trucco E, Ruggeri A, Karnowski T, Giancardo L, Chaum E, Hubschman JP, Al-Diri B, Cheung CY, Wong D, Abramoff M, Lim G, Kumar D, Burlina ` P, Bressler NM, Jelinek HF, Meriaudeau F, Quellec G, Macgillivray T, Dhillon B (2013). Validating retinal fundus image analysis algorithms: issues and a proposal. Invest Ophth Vis Sci 54:3546–59.
- Zhang Z, Yin FS, Liu J, Wong WK, Tan NM, Lee BH, Cheng J, Wong TY (2010). ORIGAlight: An online retinal fundus image database for glaucoma analysis and research. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology