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 |