# DACBT: deep learning approach for classification of brain tumors using MRI data in IoT healthcare environment

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dacbt-deep-learning-approach-for-classification-of-brain-tumors-using-mri-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amin Ul Haq,Jianping Li,Shakir Khan,Mohammed Ali Alshara,Reemiah Muneer Alotaibi,CobbinahBernard Mawuli |
| Citations | 130 |
| DOI | 10.1038/s41598-022-19465-1 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-022-19465-1.pdf |
| OpenAlex ID | https://openalex.org/W4295517687 |
| PMID | 36097024 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Jianping Li](https://scholariq.org/researchers/jianping-li/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## 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.