Skip to main content

Advertisement

Table 5 Final score (CPM)

From: Microaneurysm detection in fundus images using a two-step convolutional neural network

Dataset Method CPM \(F_{AUC}\)
Retinopathy Online Challenge Proposed method 0.461 0.660
Dashtbozorg [44] 0.471 0.484
Chudzik [9] 0.298
Budak [9] 0.221
Javidi [9] 0.261
B Wu’s [39] 0.202 0.302
Valladolid [42] 0.322
Waikato group [41] 0.206 0.273
Latim [25] 0.381 0.489
OkMedical [10] 0.357 0.430
Fujita Lab [18] 0.310 0.378
E-Optha-MA Proposed method 0.471 0.637
Dashtbozorg [44] 0.510 0.575
Chudzik [9] 0.431
Budak [9] 0.431
B Wu’s [39] 0.431 0.386
  1. The quantities given in italic form for “Retinopathy Online Challenge dataset” and “E-Ophtha-MA dataset” represent the best results
  2. Competetion measure (CPM) of Retinopathy Online Challenge at different points