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Table 4 Comparison of sensitivity at different FPI values for different MA detection methods on DIARETDB1 database

From: Microaneurysms detection in color fundus images using machine learning based on directional local contrast

Methods

Highlights

Sensitivity under different FPI values

Scores

\(\frac{{1}}{{8}}\)

\(\frac{{1}}{{4}}\)

\(\frac{{1}}{{2}}\)

1

2

4

8

Chudzik [31]

Fully convolutional neural networks (FCN)

0.187

0.246

0.288

0.365

0.449

0.570

0.641

0.392

Orlando [42]

CNN-based features, RF

0.06

0.09

0.10

0.29

0.37

0.49

0.67

0.294

Habib [38]

Tree ensemble

0.18

0.20

0.38

0.58

0.2109

Adal [25]

Semi-supervised learning

0.024

0.033

0.045

0.103

0.204

0.305

0.571

0.184

Proposed method

DLC feature, NB

0.013

0.026

0.052

0.104

0.209

0.400

0.669

0.210