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Article

A multitask classification framework based on vision transformer for predicting molecular expressions of glioma.

European journal of radiology - 1 Dec 2022

Xu Qian, Xu Qian Qian, Shi Nian, Dong Li Na, Zhu Hong, Xu Kai

Abstract excerpt

PURPOSE: The purpose of this study is to develop a Vision Transformer model with multitask classification framework that is appropriate for predicting four molecular expressions of glioma simultaneously based on MR imaging. MATERIALS AND METHODS: A total of 188 glioma (grades II-IV) patients with an immunohistochemical diagnosis of IDH, MGMT, Ki67 and P53 expression were enrolled in our study. A Vision...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 36327857
DOI: 10.1016/j.ejrad.2022.110560

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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