# Enhanced object detection in pediatric bronchoscopy images using YOLO-based algorithms with CBAM attention mechanism

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhanced-object-detection-in-pediatric-bronchoscopy-images-using-yolo-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jianqi Yan,Yifan Zeng,Junhong Lin,Zhiyuan Pei,Jinrui Fan,Chuanyu Fang,Yong Cai |
| Citations | 37 |
| DOI | 10.1016/j.heliyon.2024.e32678 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | http://www.cell.com/article/S2405844024087097/pdf |
| OpenAlex ID | https://openalex.org/W4399733010 |
| PMID | 39021922 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Jinrui Fan](https://scholariq.org/researchers/jinrui-fan/)

## Paper journal

- [Heliyon](https://scholariq.org/journals/heliyon/)

## 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/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

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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.