Annotations are not done for each B-scan, in case the adjacent B-scans are similar, the annotations are skipped. Retinal fluids and layers are annotated for 1136 B-scans (the total amount of B-scans for 25 patients is 3200 B-scans). The images are anonymized and do not contain any patient data. Each OCT volume consisted of 128 B-scans with a resolution of 1024 x 512 pixels (pixel size 1.96 x 11.74 μm). Macular SD-OCT volumes were recorded with the Zeiss Cirrus HD OCT 4000 device. In collaboration with Sestre milosrdnice University Hospital Center (Zagreb, Croatia), images were annotated for 25 patients with nAMD. Furthermore, we consider that a publicly available database of labeled retinal structures, that would combine images from different devices and for patients with various diseases, as well as for healthy patients, is necessary in order to develop an algorithm robust enough to implement software for OCT devices. During our research, the current lack of openly available databases of annotated images made the comparison of individually developed models difficult. Computer analysis of 3D OCT images is necessary to enable automated quantitative measuring of the features, objectively and repeatedly. For this reason, the analysis of the expert ophthalmologist is limited only to qualitative aspects like the detection of pathological changes. Due to the three-dimensionality and complexity of the images, manual analysis of pathological features is difficult, time-consuming, and prone to subjectivity. Optical coherence tomography (OCT) images of the retina provide a structural representation and give an insight into the pathological changes present in neovascular age-related macular degeneration (nAMD).
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