# A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-feature-extraction-method-with-regularized-extreme-learning-machine-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdu Gumaei,Mohammad Mehedi Hassan,Md. Rafiul Hassan,Abdulhameed Alelaiwi,Giancarlo Fortino |
| Citations | 474 |
| DOI | 10.1109/access.2019.2904145 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8600701/08664160.pdf |
| OpenAlex ID | https://openalex.org/W2921483513 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Abdu Gumaei](https://scholariq.org/researchers/abdu-gumaei/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

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

## Paper topics

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)

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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.