# A Hybrid Deep Learning-Based Approach for Brain Tumor Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-deep-learning-based-approach-for-brain-tumor-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Asaf Raza,Huma Ayub,Javed Ali Khan,Ijaz Ahmad,Ahmed S. Salama,Yousef Ibrahim Daradkeh,Danish Javeed,Ateeq Ur Rehman,Habib Hamam |
| Citations | 343 |
| DOI | 10.3390/electronics11071146 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2079-9292/11/7/1146/pdf?version=1649243379 |
| OpenAlex ID | https://openalex.org/W4226313662 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Ateeq Ur Rehman](https://scholariq.org/researchers/ateeq-ur-rehman/)

## Paper journal

- [Electronics](https://scholariq.org/journals/electronics/)

## 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/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)

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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.