# DenseNet 121 Framework For Automatic Feature Extraction Of Diabetic Retinopathy Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/densenet-121-framework-for-automatic-feature-extraction-of-diabetic-retinopathy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Siddarth,S. P. Chokkalingam |
| Citations | 16 |
| DOI | 10.1109/esic60604.2024.10481664 |
| Fields | Health Professions,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4393372953 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [S. P. Chokkalingam](https://scholariq.org/researchers/s-p-chokkalingam/)

## 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/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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