# Machine learning approach to differentiation of peripheral schwannomas and neurofibromas: A multi-center study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-approach-to-differentiation-of-peripheral-schwannomas-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Michael Zhang,Elizabeth Tong,Sam Wong,Forrest Hamrick,Maryam Mohammadzadeh,Vaishnavi Rao,Courtney Pendleton,Brandon W. Smith,Nicholas F. Hug,Sandip Biswal,Jayne Seekins,Sandy Napel,Robert J. Spinner,Mark A. Mahan,Kristen W. Yeom,Thomas J. Wilson |
| Citations | 22 |
| DOI | 10.1093/neuonc/noab211 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://academic.oup.com/neuro-oncology/article-pdf/24/4/601/43218906/noab211.pdf |
| OpenAlex ID | https://openalex.org/W3198250778 |
| PMID | 34487172 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Maryam Mohammadzadeh](https://scholariq.org/researchers/maryam-mohammadzadeh/)

## Paper primary topic

- [Neurofibromatosis and Schwannoma Cases](https://scholariq.org/topics/neurofibromatosis-and-schwannoma-cases/)

## Paper topics

- [Neurofibromatosis and Schwannoma Cases](https://scholariq.org/topics/neurofibromatosis-and-schwannoma-cases/)
- [Meningioma and schwannoma management](https://scholariq.org/topics/meningioma-and-schwannoma-management/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.