Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jul 2022

Shi Xiaoyu, Zhang Xinran, Iwamoto Yutaro, Cheng Jingliang, Bai Jie, Zhao Guohua, Chen Yen-Wei

Abstract excerpt

According to the 2016 World Health Organization(WHO) Classification scheme for gliomas, isocitrate dehydrogenase(IDH) is a very important basis for diagnosis. There is a strong relationship between IDH mutation status and glioma prognosis. Therefore, it is important to predict the IDH mutation status for preoperatively treating glioma. In the past decade, there has been an increase in the use of machine learning,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Brain Neoplasms
Share to Glioma

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Isocitrate Dehydrogenase

Share to Magnetic Resonance Imaging

Share to Mutation

Source

Identifiers

PMID: 36086447
DOI: 10.1109/EMBC48229.2022.9871800

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.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation.PMID 36086447Read ↗

Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics.Semantic proximity Read ↗

Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma.Semantic proximity Read ↗

A multimodal ConvNeXt-Tiny deep learning model for simultaneous prediction of IDH mutation and Ki-67 expression in gliomas.Semantic proximity Read ↗

Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images.Semantic proximity Read ↗

[A Dual-Aware deep learning framework for identification of glioma isocitrate dehydrogenase genotype using magnetic resonance amide proton transfer modalities].Semantic proximity Read ↗

Noninvasive prediction of IDH mutation status in gliomas using preoperative multiparametric MRI radiomics nomogram: A mutlicenter study.Semantic proximity Read ↗

Competent Radiogenomics Features for the Prediction of glioma MutationsSemantic proximity Read ↗

Deep wavelet scattering orthogonal fusion network for glioma IDH mutation status prediction.Semantic proximity Read ↗

Multi-task Model for Glioma Segmentation and Isocitrate Dehydrogenase Status Prediction Using Global and Local Features.Semantic proximity Read ↗

Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q CodeletionSemantic proximity Read ↗

Predicting Isocitrate Dehydrogenase (IDH) Mutation Status in Gliomas Using Multiparameter MRI Radiomics Features.Semantic proximity Read ↗

External Validation of a Convolutional Neural Network for IDH Mutation Prediction.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.