# Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/prediction-of-idh-and-tert-promoter-mutations-in-low-grade-glioma-from-magnetic/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ryohei Fukuma,Takufumi Yanagisawa,Manabu Kinoshita,Takashi Shinozaki,Hideyuki Arita,Atsushi Kawaguchi,Masamichi Takahashi,Yoshitaka Narita,Yuzo Terakawa,Naohiro Tsuyuguchi,Yoshiko Okita,Masahiro Nonaka,Shusuke Moriuchi,Masatoshi Takagaki,Yasunori Fujimoto,Junya Fukai,Shuichi Izumoto,Kenichi Ishibashi,Yoshikazu Nakajima,Tomoko Shofuda,Daisuke Kanematsu,Ema Yoshioka,Yoshinori Kodama,Masayuki Mano,Kanji Mori,Koichi Ichimura,Yonehiro Kanemura,Haruhiko Kishima |
| Citations | 75 |
| DOI | 10.1038/s41598-019-56767-3 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-019-56767-3.pdf |
| OpenAlex ID | https://openalex.org/W2997384822 |
| PMID | 31889117 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Yasunori Fujimoto](https://scholariq.org/researchers/yasunori-fujimoto/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.