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Table 4 Sensitivities of the different methods in E-Ophtha-MA dataset at the various FP/image rates

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

Free-response receiver operating characteristic results on E-Ophtha-MA dataset at average number of False positives per image

Method

Sensitivity 

FPs/Img

1/8

1/4

1/2

1

2

4

8

Classification method

 Proposed method

0.091

0.258

0.401

0.534

0.579

0.667

0.771

CNN

 Dashtbozorg [38]

0.358

0.417

0.471

0.522

0.558

0.605

0.638

RUSBoost

 Chudzika [29]

0.151

0.264

0.376

0.468

0.542

0.595

0.621

CNN

 Wu’s [39]

0.063

0.117

0.172

0.245

0.323

0.417

0.573

KNN

  1. The quantity given in italic form in each FPs/Img column represents the best result