# An empirical analysis of deep ensemble approach on COVID-19 and tuberculosis X-ray images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-empirical-analysis-of-deep-ensemble-approach-on-covid-19-and-tuberculosis-x-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Aakanksha Sharaff,Madhur Singhal,Arham Chouradiya,Pavan Gupta |
| Citations | 4 |
| DOI | 10.1504/ijbm.2023.130653 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4368248682 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Madhur Singhal](https://scholariq.org/researchers/madhur-singhal/)

## Paper journal

- [International Journal of Biometrics](https://scholariq.org/journals/international-journal-of-biometrics/)

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.