# AI-based analysis of oral lesions using novel deep convolutional neural networks for early detection of oral cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-based-analysis-of-oral-lesions-using-novel-deep-convolutional-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kritsasith Warin,Wasit Limprasert,Siriwan Suebnukarn,Suthin Jinaporntham,Patcharapon Jantana,Sothana Vicharueang |
| Citations | 172 |
| DOI | 10.1371/journal.pone.0273508 |
| Fields | Computer Science,Dentistry,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1371/journal.pone.0273508 |
| OpenAlex ID | https://openalex.org/W4293105592 |
| PMID | 36001628 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Siriwan Suebnukarn](https://scholariq.org/researchers/siriwan-suebnukarn/)

## Paper journal

- [PLoS ONE](https://scholariq.org/journals/plos-one/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Oral Health Pathology and Treatment](https://scholariq.org/topics/oral-health-pathology-and-treatment/)
- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)

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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.