# Brain Tumor Detection and Classification

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/brain-tumor-detection-and-classification-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 374,634 |
| Description | This cluster of papers focuses on the classification of brain tumor type and grade using various techniques such as MRI, deep learning, convolutional neural networks, feature extraction, and machine learning. The research aims to improve the accuracy and efficiency of brain tumor classification for better diagnosis and treatment. |
| Domain | Life Sciences |
| Field | Neuroscience |
| OpenAlex ID | https://openalex.org/T12702 |
| Works | 49,985 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Xiangyu Zhang](https://scholariq.org/researchers/xiangyu-zhang/)
- [Jian Sun](https://scholariq.org/researchers/jian-sun-2/)
- [John C. Morris](https://scholariq.org/researchers/john-c-morris/)
- [Clifford R. Jack](https://scholariq.org/researchers/clifford-r-jack/)
- [Ronald C. Petersen](https://scholariq.org/researchers/ronald-c-petersen/)
- [Paul M. Thompson](https://scholariq.org/researchers/paul-m-thompson/)
- [Anders M. Dale](https://scholariq.org/researchers/anders-m-dale/)
- [Nick C. Fox](https://scholariq.org/researchers/nick-c-fox/)
- [David S. Knopman](https://scholariq.org/researchers/david-s-knopman/)
- [Michael Weller](https://scholariq.org/researchers/michael-weller/)
- [Andreas von Deimling](https://scholariq.org/researchers/andreas-von-deimling/)

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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.