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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