# Optimizing brain tumor classification through feature selection and hyperparameter tuning in machine learning models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimizing-brain-tumor-classification-through-feature-selection-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mst. Sazia Tahosin,Md. Alif Sheakh,Taminul Islam,Rishalatun Jannat Lima,Mahbuba Begum |
| Citations | 60 |
| DOI | 10.1016/j.imu.2023.101414 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.imu.2023.101414 |
| OpenAlex ID | https://openalex.org/W4388993439 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Md. Alif Sheakh](https://scholariq.org/researchers/md-alif-sheakh/)

## 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/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

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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.