FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE
DOI:
https://doi.org/10.5566/ias.1155Keywords:
diabetic retinopathy, image database, image processing, MessidorAbstract
The Messidor database, which contains hundreds of eye fundus images, has been publicly distributed since 2008. It was created by the Messidor project in order to evaluate automatic lesion segmentation and diabetic retinopathy grading methods. Designing, producing and maintaining such a database entails significant costs. By publicly sharing it, one hopes to bring a valuable resource to the public research community. However, the real interest and benefit of the research community is not easy to quantify. We analyse here the feedback on the Messidor database, after more than 6 years of diffusion. This analysis should apply to other similar research databases.References
bibitem[{Carmona emph{et~al.}(2008)Carmona, Rincón, García-Feijoó, and
Martínez-de-la Casa}]{carmona_identification_2008}
Carmona EJ, Rincón M, García-Feijoó J, Martínez-de-la Casa JM (2008).
newblock Identification of the optic nerve head with genetic algorithms.
newblock Artificial Intelligence in Medicine 43:243--59.
bibitem[{Decencière emph{et~al.}(2013)Decencière, Cazuguel, Zhang,
Thibault, Klein, Meyer, Marcotegui, Quellec, Lamard, Danno, Elie, Massin,
Viktor, Erginay, Laÿ, and Chabouis}]{decenciere_teleophta:_2013}
Decencière E, Cazuguel G, Zhang X, Thibault G, Klein JC, Meyer F, Marcotegui
B, Quellec G, Lamard M, Danno R, Elie D, Massin P, Viktor Z, Erginay A, Laÿ
B, Chabouis A (2013).
newblock {TeleOphta:} machine learning and image processing methods for
teleophthalmology.
newblock IRBM 34:196--203.
bibitem[{Giancardo emph{et~al.}(2012)Giancardo, Meriaudeau, Karnowski, Li,
Garg, Tobin~Jr., and Chaum}]{giancardo_exudate-based_2012}
Giancardo L, Meriaudeau F, Karnowski TP, Li Y, Garg S, Tobin~Jr. KW, Chaum E
(2012).
newblock Exudate-based diabetic macular edema detection in fundus images using
publicly available datasets.
newblock Medical Image Analysis 16:216--26.
bibitem[{Hoover emph{et~al.}(2000)Hoover, Kouznetsova, and
Goldbaum}]{hoover_locating_2000}
Hoover A, Kouznetsova V, Goldbaum M (2000).
newblock Locating blood vessels in retinal images by piecewise threshold
probing of a matched filter response.
newblock IEEE Transactions on Medical Imaging 19:203--10.
bibitem[{Kauppi emph{et~al.}(2007)Kauppi, Kalesnykiene, Kamarainen, Lensu,
Sorri, Raninen, Voutilainen, Uusitalo, Kälviäinen, and
Pietilä}]{kauppi_diaretdb1_2007}
Kauppi T, Kalesnykiene V, Kamarainen JK, Lensu L, Sorri I, Raninen A,
Voutilainen R, Uusitalo H, Kälviäinen H, Pietilä J (2007).
newblock The {DIARETDB1} diabetic retinopathy database and evaluation
protocol.
newblock In: British Machine Vision Conference.
bibitem[{Niemeijer emph{et~al.}(2010)Niemeijer, van Ginneken, Cree, Mizutani,
Quellec, Sanchez, Zhang, Hornero, Lamard, Muramatsu, Wu, Cazuguel, You, Mayo,
Li, Hatanaka, Cochener, Roux, Karray, Garcia, Fujita, and
Abramoff}]{niemeijer_retinopathy_2010}
Niemeijer M, van Ginneken B, Cree M, Mizutani A, Quellec G, Sanchez C, Zhang B,
Hornero R, Lamard M, Muramatsu C, Wu X, Cazuguel G, You J, Mayo A, Li Q,
Hatanaka Y, Cochener B, Roux C, Karray F, Garcia M, Fujita H, Abramoff M
(2010).
newblock Retinopathy online challenge: Automatic detection of microaneurysms
in digital color fundus photographs.
newblock IEEE Transactions on Medical Imaging 29:185--95.
bibitem[{Staal emph{et~al.}(2004)Staal, Abramoff, Niemeijer, Viergever, and
van Ginneken}]{staal_ridge-based_2004}
Staal J, Abramoff M, Niemeijer M, Viergever M, van Ginneken B (2004).
newblock Ridge-based vessel segmentation in color images of the retina.
newblock IEEE Transactions on Medical Imaging 23:501--9.
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