# HIRD-Net: An Explainable CNN-Based Framework with Attention Mechanism for Diabetic Retinopathy Diagnosis Using CLAHE-D-DoG Enhanced Fundus Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hird-net-an-explainable-cnn-based-framework-with-attention-mechanism-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Hassaan Ashraf,Muhammad Nabeel Mehmood,Musharif Ahmed,Dildar Hussain,Jawad Khan,Younhyun Jung,Mohammed Zakariah,Deema Mohammed Alsekait |
| Citations | 7 |
| DOI | 10.3390/life15091411 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-1729/15/9/1411/pdf?version=1757313554 |
| OpenAlex ID | https://openalex.org/W4414069564 |
| PMID | 41010353 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Muhammad Hassaan Ashraf](https://scholariq.org/researchers/muhammad-hassaan-ashraf/)

## Paper journal

- [Life](https://scholariq.org/journals/life/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.