# Brain tumor classification using MRI images and deep learning techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/brain-tumor-classification-using-mri-images-and-deep-learning-techniques/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yuki Wong,Eileen Lee Ming Su,Che Fai Yeong,William Holderbaum,Chenguang Yang |
| Citations | 45 |
| DOI | 10.1371/journal.pone.0322624 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0322624&type=printable |
| OpenAlex ID | https://openalex.org/W4410228127 |
| PMID | 40344143 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Eileen Lee Ming Su](https://scholariq.org/researchers/eileen-lee-ming-su/)

## Paper journal

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

## Paper primary topic

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.