# Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/retinal-disease-detection-using-deep-learning-techniques-a-comprehensive-review/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stewart Muchuchuti,Serestina Viriri |
| Citations | 121 |
| DOI | 10.3390/jimaging9040084 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2313-433X/9/4/84/pdf?version=1681809517 |
| OpenAlex ID | https://openalex.org/W4366281042 |
| PMID | 37103235 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Serestina Viriri](https://scholariq.org/researchers/serestina-viriri/)

## Paper primary topic

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

## Paper topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.