Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentation
| Autor: | Gopal Datt Joshi, Madhulika Jain, S. R. Krishnadas, Jayanthi Sivaswamy, A. Ujjwaft Syed Tabish |
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| Rok vydání: | 2014 |
| Předmět: |
genetic structures
Head (linguistics) Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Optic disk Glaucoma Retinal medicine.disease eye diseases Retinal image chemistry.chemical_compound chemistry medicine Benchmark (computing) Optic nerve Segmentation Computer vision sense organs Artificial intelligence business |
| Zdroj: | ISBI |
| DOI: | 10.1109/isbi.2014.6867807 |
| Popis: | Optic nerve head (ONH) segmentation problem has been of interest for automated glaucoma assessment. Although various segmentation methods have been proposed in the recent past, it is difficult to evaluate and compare the performance of individual methods due to a lack of a benchmark dataset. The problem of segmentation involves segmentation of optic disk and cup region within ONH region. Available datasets do not incorporate challenges present in this problem. In this data paper, we present a comprehensive dataset of retinal images which include both normal and glaucomatous eyes and manual segmentations from multiple human experts. Both area and boundary-based evaluation measures are presented to evaluate a method on various aspects relevant to the problem of glaucoma assessment. |
| Databáze: | OpenAIRE |
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