Computational Intelligence and Neuroscience / 2016 / Article / Fig 1

Research Article

Learning-Based Visual Saliency Model for Detecting Diabetic Macular Edema in Retinal Image

Figure 1

We collected eye-tracking data on 100 retinal images with diabetic macular edema from 10 ophthalmologists. Gaze tracking paths and fixation locations are recorded in (b). A continuous ground truth (b) is found by convolving a Gaussian over the fixation locations of all users.
(a) Original image
(b) Eye tracking
(c) Ground truth