AIMC Topic: Isocitrate Dehydrogenase

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Code-free machine learning for classification of central nervous system histopathology images.

Journal of neuropathology and experimental neurology Feb 21, 2023
Machine learning (ML), an application of artificial intelligence, is currently transforming the analysis of biomedical data and specifically of biomedical images including histopathology. The promises of this technology contrast, however, with its cu...
Brain Neoplasms Mutation Central Nervous System Isocitrate Dehydrogenase Artificial Intelligence Machine Learning Humans
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Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning.

Neuro-oncology Feb 14, 2023
BACKGROUND: Accurate characterization of glioma is crucial for clinical decision making. A delineation of the tumor is also desirable in the initial decision stages but is time-consuming. Previously, deep learning methods have been developed that can...
Deep Learning Mutation Glioma Isocitrate Dehydrogenase Humans Chromosome Aberrations Brain Neoplasms Magnetic Resonance Imaging Neoplasm Grading
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Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

Neuro-oncology Apr 1, 2022
BACKGROUND: Diagnostic classification of diffuse gliomas now requires an assessment of molecular features, often including IDH-mutation and 1p19q-codeletion status. Because genetic testing requires an invasive process, an alternative noninvasive appr...
Brain Neoplasms Deep Learning Humans Mutation Isocitrate Dehydrogenase Glioma Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging
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IDH glioma radiogenomics in the era of deep learning.

Neuro-oncology Feb 25, 2021
Isocitrate Dehydrogenase Humans Glioma Mutation Deep Learning
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Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics.

Neuro-oncology Feb 25, 2021
BACKGROUND: Glioma prognosis depends on isocitrate dehydrogenase (IDH) mutation status. We aimed to predict the IDH status of gliomas from preoperative MR images using a fully automated hybrid approach with convolutional neural networks (CNNs) and ra...
Isocitrate Dehydrogenase Deep Learning Glioma Magnetic Resonance Imaging Mutation Retrospective Studies Brain Neoplasms Humans
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A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas.

Neuro-oncology Mar 5, 2020
BACKGROUND: Isocitrate dehydrogenase (IDH) mutation status has emerged as an important prognostic marker in gliomas. Currently, reliable IDH mutation determination requires invasive surgical procedures. The purpose of this study was to develop a high...
Female Sensitivity and Specificity Brain Neoplasms Male Humans Isocitrate Dehydrogenase Glioma Magnetic Resonance Imaging Middle Aged Deep Learning
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Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network.

Neuro-oncology Sep 6, 2019
BACKGROUND: The aim of this study was to predict isocitrate dehydrogenase (IDH) genotypes of gliomas using an interpretable deep learning application for dynamic susceptibility contrast (DSC) perfusion MRI.
Isocitrate Dehydrogenase Image Processing, Computer-Assisted Mutation Magnetic Resonance Angiography Genotype Female Adult Deep Learning Aged ROC Curve Brain Neoplasms Male Humans Magnetic Resonance Imaging Glioma Middle Aged Neural Networks, Computer Area Under Curve Contrast Media
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