# A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-and-effective-brain-tumor-classification-model-using-deep-feature-fusion/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hareem Kibriya,Rashid Amin,Asma Hassan Alshehri,Momina Masood,Sultan S. Alshamrani,Abdullah Alshehri |
| Citations | 110 |
| DOI | 10.1155/2022/7897669 |
| Fields | Computer Science,Neuroscience,Social Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://downloads.hindawi.com/journals/cin/2022/7897669.pdf |
| OpenAlex ID | https://openalex.org/W4220787529 |
| PMID | 35378808 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Momina Masood](https://scholariq.org/researchers/momina-masood/)

## 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/)
- [Advanced Computing and Algorithms](https://scholariq.org/topics/advanced-computing-and-algorithms/)

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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.