# DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/drunet-a-dilated-residual-u-net-deep-learning-network-to-segment-optic-nerve/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sripad Krishna Devalla,Prajwal K. Renukanand,Bharathwaj Krishnaswami Sreedhar,Giridhar Subramanian,Liang Zhang,Shamira Perera,Jean Martial Mari,Khai Sing Chin,Tin A. Tun,Nicholas G. Strouthidis,Tin Aung,Alexandre H. Thiéry,Michaël J. A. Girard |
| Citations | 218 |
| DOI | 10.1364/boe.9.003244 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1364/boe.9.003244 |
| OpenAlex ID | https://openalex.org/W2964015468 |
| PMID | 29984096 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Shamira Perera](https://scholariq.org/researchers/shamira-perera/)

## Paper primary topic

- [Glaucoma and retinal disorders](https://scholariq.org/topics/glaucoma-and-retinal-disorders/)

## Paper topics

- [Glaucoma and retinal disorders](https://scholariq.org/topics/glaucoma-and-retinal-disorders/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Optical Coherence Tomography Applications](https://scholariq.org/topics/optical-coherence-tomography-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.