Skip to main content

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