# Introduction of High Throughput Magnetic Resonance T2-Weighted Image Texture Analysis for WHO Grade 2 and 3 Gliomas

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/introduction-of-high-throughput-magnetic-resonance-t2-weighted-image-texture/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Manabu Kinoshita,Mio Sakai,Hideyuki Arita,Tomoko Shofuda,Yasuyoshi Chiba,Naoki Kagawa,Yoshiyuki Watanabe,Naoya Hashimoto,Yasunori Fujimoto,Toshiki Yoshimine,Katsuyuki Nakanishi,Yonehiro Kanemura |
| Citations | 62 |
| DOI | 10.1371/journal.pone.0164268 |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0164268&type=printable |
| OpenAlex ID | https://openalex.org/W2528946299 |
| PMID | 27716832 |
| Type | article |
| Year | 2016 |

## Paper authors

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

## Paper journal

- [PLoS ONE](https://scholariq.org/journals/plos-one/)

## Paper primary topic

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)

## Paper topics

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.