RIM-ONE DL: A Unified Retinal Image Database for Assessing Glaucoma Using Deep Learning

  1. Silvia Alayon 1
  2. Tinguaro Diaz-Aleman 2
  3. Denisse Angel-Pereira 2
  4. Jose Sigut 1
  5. Rafael Arnay 1
  6. Francisco José Fumero Batista 1
  1. 1 Department of Computer Engineering and Systems, University of La Laguna
  2. 2 Servicio de Oftalmología, Hospital Universitario de Canarias
Zeitschrift:
Image Analysis & Stereology

ISSN: 1854-5165

Datum der Publikation: 2020

Ausgabe: 39

Nummer: 3

Seiten: 161-167

Art: Artikel

DOI: 10.5566/IAS.2346 GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: Image Analysis & Stereology

Indikatoren

Zitate erhalten

  • Zitate in Scopus: 23 (23-08-2023)
  • Zitate in 'Web of Science': 17 (22-09-2023)
  • Zitate in Dimensions: 20 (04-03-2023)

JCR (Journal Impact Factor)

  • Jahr 2020
  • Impact Factor der Zeitschrift: 0.682
  • Impact Factor ohne Selbstzitierung: 0.545
  • Article influence score: 0.147
  • Höchstes Quartil: Q4
  • Bereich: MATERIALS SCIENCE, MULTIDISCIPLINARY Quartil: Q4 Position im Bereich: 313/334 (Ausgabe: SCIE)
  • Bereich: MATHEMATICS, APPLIED Quartil: Q4 Position im Bereich: 239/265 (Ausgabe: SCIE)
  • Bereich: IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Quartil: Q4 Position im Bereich: 28/29 (Ausgabe: SCIE)

SCImago Journal Rank

  • Jahr 2020
  • Impact SJR der Zeitschrift: 0.237
  • Höchstes Quartil: Q3
  • Bereich: Biotechnology Quartil: Q3 Position im Bereich: 212/352
  • Bereich: Computer Vision and Pattern Recognition Quartil: Q3 Position im Bereich: 142/619
  • Bereich: Signal Processing Quartil: Q3 Position im Bereich: 173/741
  • Bereich: Materials Science (miscellaneous) Quartil: Q3 Position im Bereich: 391/696
  • Bereich: Mathematics (miscellaneous) Quartil: Q3 Position im Bereich: 322/471
  • Bereich: Acoustics and Ultrasonics Quartil: Q3 Position im Bereich: 35/83
  • Bereich: Instrumentation Quartil: Q3 Position im Bereich: 172/931
  • Bereich: Radiology, Nuclear Medicine and Imaging Quartil: Q4 Position im Bereich: 241/367

Scopus CiteScore

  • Jahr 2020
  • CiteScore der Zeitschrift: 1.8
  • Bereich: Mathematics (all) Perzentil: 73
  • Bereich: Materials Science (miscellaneous) Perzentil: 53
  • Bereich: Acoustics and Ultrasonics Perzentil: 47
  • Bereich: Instrumentation Perzentil: 35
  • Bereich: Signal Processing Perzentil: 34
  • Bereich: Radiology, Nuclear Medicine and Imaging Perzentil: 33
  • Bereich: Computer Vision and Pattern Recognition Perzentil: 33
  • Bereich: Biotechnology Perzentil: 32

Journal Citation Indicator (JCI)

  • Jahr 2020
  • JCI der Zeitschrift: 0.22
  • Höchstes Quartil: Q4
  • Bereich: MATERIALS SCIENCE, MULTIDISCIPLINARY Quartil: Q4 Position im Bereich: 315/384
  • Bereich: MATHEMATICS, APPLIED Quartil: Q4 Position im Bereich: 290/309
  • Bereich: IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Quartil: Q4 Position im Bereich: 28/31

Dimensions

(Aktualisierte Daten ab 04-03-2023)
  • Gesamtzitate: 20
  • Letzten Termine: 20
  • Field Citation Ratio (FCR): 10.22

Bibliographische Referenzen

  • 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