Published March 30, 2023 | Version v2
Other Open

19: Retinal Fundus Multi-Disease Image Dataset (RFMiD)

Description

This model was trained on a dataset created for RIADD's classification sub-challenge.It's a multi-class, multi-label classification task, where a wide range of diseases is to be detected in ophthalmological images. Classes that can be found are:
  • DR
  • ARMD
  • MH
  • DN
  • MYA
  • BRVO
  • TSLN
  • ERM
  • LS
  • MS
  • CSR
  • ODC
  • CRVO
  • TV
  • AH
  • ODP
  • ODE
  • ST
  • AION
  • PT
  • RT
  • RS
  • CRS
  • EDN
  • RPEC
  • MHL
  • RP
  • OTHER
  • NORMAL
The model was trained using this script; a summary of its performance can be found here.

Files

100547_metrics-python.json

Files (121.1 MB)

Name Size
md5:6f16e4ec0d7f05deb938810238c40363
201.4 kB Preview Download
md5:8a832091ea60d5f6fbbaec5b2b3f6580
28.3 MB Preview Download
md5:e0c0ab2cac64f7bb2a07e58003cfe905
92.4 MB Download
md5:39890cc3390146278d061efbbd0f9593
204.8 kB Preview Download

Additional details

Related works

Is part of
10.5281/zenodo.7740029 (DOI)