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

Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data.

Computers in biology and medicine - 1 Sept 2024

Nakagaki Riku, Debsarkar Shyam Sundar, Kawanaka Hiroharu, Aronow Bruce J, Prasath V B Surya

Abstract excerpt

In the field of histopathology, many studies on the classification of whole slide images (WSIs) using artificial intelligence (AI) technology have been reported. We have studied the disease progression assessment of glioma. Adult-type diffuse gliomas, a type of brain tumor, are classified into astrocytoma, oligodendroglioma, and glioblastoma. Astrocytoma and oligodendroglioma are also called low grade glioma...

Read the complete abstract on PubMed

Topics

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

Share to AI in cancer detection
Share to Brain Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Deep Learning

Share to IDH1 gene

Share to Glioma

Share to Isocitrate Dehydrogenase

Share to Mutation

Share to Radiomics and Machine Learning in Medical Imaging

Source

Open in PubMed Open full text

Identifiers

PMID: 39038392
DOI: 10.1016/j.compbiomed.2024.108902
PMCID: PMC13215039

Genes

IDH1

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

Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data.PMID 39038392Read ↗

A Multiple-Instance Learning-Based Convolutional Neural Network Model to Detect the IDH1 Mutation in the Histopathology Images of Glioma Tissues.Semantic proximity Read ↗

Predicting Prognosis and IDH Mutation Status for Patients with Lower-Grade Gliomas Using Whole Slide ImagesSemantic proximity Read ↗

Predicting prognosis and IDH mutation status for patients with lower-grade gliomas using whole slide images.Semantic proximity Read ↗

Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning.Semantic proximity Read ↗

Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole Slide Images in Adult Patients with Diffuse Glioma.Semantic proximity Read ↗

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

Glioma Image-Level and Slide-Level Gene Predictor (GLISP) for Molecular Diagnosis and Predicting Genetic Events of Adult Diffuse GliomaSemantic proximity Read ↗

A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma.Semantic proximity Read ↗

Insight into deep learning for glioma IDH medical image analysis: A systematic review.Semantic proximity Read ↗

Predicting IDH Mutation in Glioma Patients Using Deep Learning Algorithms with Conformal Prediction.Semantic proximity Read ↗

Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patientsSemantic proximity Read ↗

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.Semantic proximity Read ↗

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