# AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-driven-deep-cnn-approach-for-multi-label-pathology-classification-using-chest/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Saleh Albahli,Hafiz Tayyab Rauf,Abdulelah Algosaibi,Valentina Emilia Bălaş |
| Citations | 94 |
| DOI | 10.7717/peerj-cs.495 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.7717/peerj-cs.495 |
| OpenAlex ID | https://openalex.org/W3156331990 |
| PMID | 33977135 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Saleh Albahli](https://scholariq.org/researchers/saleh-albahli/)

## 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.