# Uncertainty Assisted Robust Tuberculosis Identification With Bayesian Convolutional Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/uncertainty-assisted-robust-tuberculosis-identification-with-bayesian/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zain Ul Abideen,Mubeen Ghafoor,Kamran Munir,Madeeha Saqib,Ata Ullah,Tehseen Zia,Syed Ali Tariq,Ghufran Ahmed,Asma Zahra |
| Citations | 98 |
| DOI | 10.1109/access.2020.2970023 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8948470/08972440.pdf |
| OpenAlex ID | https://openalex.org/W3003475284 |
| PMID | 32391238 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Zain Ul Abideen](https://scholariq.org/researchers/zain-ul-abideen/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## 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/)
- [Image Processing Techniques and Applications](https://scholariq.org/topics/image-processing-techniques-and-applications/)
- [Mycobacterium research and diagnosis](https://scholariq.org/topics/mycobacterium-research-and-diagnosis/)

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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.