# Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-and-medical-image-processing-for-coronavirus-covid-19-pandemic-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sweta Bhattacharya,Praveen Kumar Reddy Maddikunta,Quoc‐Viet Pham,Thippa Reddy Gadekallu,Siva Rama Krishnan S,Chiranji Lal Chowdhary,Mamoun Alazab,Md. Jalil Piran |
| Citations | 488 |
| DOI | 10.1016/j.scs.2020.102589 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/7642729 |
| OpenAlex ID | https://openalex.org/W3095681026 |
| PMID | 33169099 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Chiranji Lal Chowdhary](https://scholariq.org/researchers/chiranji-lal-chowdhary/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.