# Optimising deep learning models for ophthalmological disorder classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimising-deep-learning-models-for-ophthalmological-disorder-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Vidivelli,P. Padmakumari,Chembian Parthiban,A. Dharunbalaji,R. Manikandan,Amir H. Gandomi |
| Citations | 18 |
| DOI | 10.1038/s41598-024-75867-3 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-024-75867-3.pdf |
| OpenAlex ID | https://openalex.org/W4406800592 |
| PMID | 39856068 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Chembian Parthiban](https://scholariq.org/researchers/chembian-parthiban/)

## Paper journal

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

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

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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.