# Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multimodal-brain-tumor-classification-using-deep-learning-and-robust-feature/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Attique Khan,Imran Ashraf,Majed Alhaisoni,Robertas Damaševičius,Rafał Scherer,Amjad Rehman,Syed Ahmad Chan Bukhari |
| Citations | 424 |
| DOI | 10.3390/diagnostics10080565 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-4418/10/8/565/pdf?version=1596797512 |
| OpenAlex ID | https://openalex.org/W3047434002 |
| PMID | 32781795 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Muhammad Attique Khan](https://scholariq.org/researchers/muhammad-attique-khan/)
- [Majed Alhaisoni](https://scholariq.org/researchers/majed-alhaisoni/)

## Paper journal

- [Diagnostics](https://scholariq.org/journals/diagnostics/)

## 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/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.