# An Efficient VGG19 Framework for Malaria Detection in Blood Cell Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-efficient-vgg19-framework-for-malaria-detection-in-blood-cell-images/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kanwarpartap Singh Gill,Vatsala Anand,Rupesh Gupta |
| Citations | 86 |
| DOI | 10.1109/asiancon58793.2023.10270637 |
| Fields | Agricultural and Biological Sciences,Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4387489967 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Rupesh Gupta](https://scholariq.org/researchers/rupesh-gupta/)

## Paper primary topic

- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)

## Paper topics

- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Mosquito-borne diseases and control](https://scholariq.org/topics/mosquito-borne-diseases-and-control/)

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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.