# Deep learning for identifying corneal diseases from ocular surface slit-lamp photographs

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-identifying-corneal-diseases-from-ocular-surface-slit-lamp/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hao Gu,Youwen Guo,Lei Gu,Anji Wei,Shirong Xie,Zhengqiang Ye,Jianjiang Xu,Xingtao Zhou,Yi Lü,Xiaoqing Liu,Jiaxu Hong |
| Citations | 110 |
| DOI | 10.1038/s41598-020-75027-3 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-020-75027-3.pdf |
| OpenAlex ID | https://openalex.org/W3094004630 |
| PMID | 33082530 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Yi Lü](https://scholariq.org/researchers/yi-lu/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Retinal and Optic Conditions](https://scholariq.org/topics/retinal-and-optic-conditions/)

## Paper topics

- [Retinal and Optic Conditions](https://scholariq.org/topics/retinal-and-optic-conditions/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Ocular Diseases and Behçet’s Syndrome](https://scholariq.org/topics/ocular-diseases-and-behcet-s-syndrome/)

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