[HTML][HTML] Grading of adult diffuse gliomas according to the 2021 WHO Classification of Tumors of the Central Nervous System
T Komori - Laboratory Investigation, 2022 - Elsevier
The grading of gliomas based on histological features has been a subject of debate for
several decades. A consensus has not yet been reached because of technical limitations …
several decades. A consensus has not yet been reached because of technical limitations …
Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year
survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for …
survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for …
[HTML][HTML] Glioma imaging in Europe: A survey of 220 centres and recommendations for best clinical practice
Abstract Objectives At a European Society of Neuroradiology (ESNR) Annual Meeting 2015
workshop, commonalities in practice, current controversies and technical hurdles in glioma …
workshop, commonalities in practice, current controversies and technical hurdles in glioma …
[HTML][HTML] Predicting deletion of chromosomal arms 1p/19q in low-grade gliomas from MR images using machine intelligence
Several studies have linked codeletion of chromosome arms 1p/19q in low-grade gliomas
(LGG) with positive response to treatment and longer progression-free survival. Hence …
(LGG) with positive response to treatment and longer progression-free survival. Hence …
Brain tumor classification using the fused features extracted from expanded tumor region
In this study, a brain tumor classification method using the fusion of deep and shallow
features is proposed to distinguish between meningioma, glioma, pituitary tumor types and …
features is proposed to distinguish between meningioma, glioma, pituitary tumor types and …
Imaging correlates of adult glioma genotypes
M Smits, MJ van den Bent - Radiology, 2017 - pubs.rsna.org
Primary brain tumors, most commonly gliomas, are histopathologically typed and graded as
World Health Organization (WHO) grades I–IV according to increasing degrees of …
World Health Organization (WHO) grades I–IV according to increasing degrees of …
The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a …
TK Yoo, JY Choi, JG Seo, B Ramasubramanian… - Medical & biological …, 2019 - Springer
Recently, researchers have built new deep learning (DL) models using a single image
modality to diagnose age-related macular degeneration (AMD). Retinal fundus and optical …
modality to diagnose age-related macular degeneration (AMD). Retinal fundus and optical …
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas
Purpose Isocitrate dehydrogenase (IDH) and 1p19q codeletion status are importantin
providing prognostic information as well as prediction of treatment response in gliomas …
providing prognostic information as well as prediction of treatment response in gliomas …
Machine learning for the prediction of molecular markers in glioma on magnetic resonance imaging: a systematic review and meta-analysis
BACKGROUND Molecular characterization of glioma has implications for prognosis,
treatment planning, and prediction of treatment response. Current histopathology is limited …
treatment planning, and prediction of treatment response. Current histopathology is limited …
Imaging of oligodendroglioma
M Smits - The British journal of radiology, 2016 - birpublications.org
Oligodendroglioma are glial tumours, predominantly occurring in adults. Their hallmark
molecular feature is codeletion of the 1p and 19q chromosome arms, which is not only of …
molecular feature is codeletion of the 1p and 19q chromosome arms, which is not only of …
