Radiomics strategy for glioma grading using texture features from multiparametric MRI
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.26010
Abstract: Accurate glioma grading plays an important role in the clinical management of patients and is also the basis of molecular stratification nowadays. read more here.
Keywords: glioma; grading using; using texture; glioma grading ... See more keywords
Glioma grading using a machine‐learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.26704
Abstract: Glioma grading between intermediate grades (Grade II vs. III and Grade III vs. IV) as well as multiclass grades (Grade II vs. III vs. IV) is challenging and needs to be addressed. read more here.
Keywords: machine learning; using machine; grading using; glioma grading ... See more keywords
Preoperative neutrophil–lymphocyte ratio correlated with glioma grading and glioblastoma survival
Sign Up to like & getrecommendations! Published in 2018 at "Neurological Research"
DOI: 10.1080/01616412.2018.1497271
Abstract: ABSTRACT Background: Neutrophil–lymphocyte ratio (NLR) is a simple, low-cost and easily measured inflammation marker, corresponding with pathological tumor grading and clinical prognosis in various cancers. Objectives: This study aimed to investigate the relationship between preoperative… read more here.
Keywords: glioblastoma; glioma; glioma grading; neutrophil lymphocyte ... See more keywords
Automatic Histogram Specification for Glioma Grading Using Multicenter Data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Healthcare Engineering"
DOI: 10.1155/2019/9414937
Abstract: Multicenter sharing is an effective method to increase the data size for glioma research, but the data inconsistency among different institutions hindered the efficiency. This paper proposes a histogram specification with automatic selection of reference… read more here.
Keywords: multicenter; search; histogram specification; glioma grading ... See more keywords
Application of Enhanced T1WI of MRI Radiomics in Glioma Grading
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Clinical Practice"
DOI: 10.1155/2022/3252574
Abstract: Objective To explore the application value of the radiomics method based on enhanced T1WI in glioma grading. Materials and Methods A retrospective analysis was performed using data of 114 patients with glioma, which was confirmed… read more here.
Keywords: group; glioma grading; analysis; application enhanced ... See more keywords
Multiparametric Magnetic Resonance Imaging Information Fusion Using Graph Convolutional Network for Glioma Grading
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/7315665
Abstract: Accurate preoperative glioma grading is essential for clinical decision-making and prognostic evaluation. Multiparametric magnetic resonance imaging (mpMRI) serves as an important diagnostic tool for glioma patients due to its superior performance in describing noninvasively the… read more here.
Keywords: information; magnetic resonance; information fusion; glioma grading ... See more keywords
Current Status and Quality of Machine Learning-Based Radiomics Studies for Glioma Grading: A Systematic Review
Sign Up to like & getrecommendations! Published in 2021 at "Oncology"
DOI: 10.1159/000515597
Abstract: Introduction: Radiomics now has significant momentum in the era of precision medicine. Glioma is one of the pathologies that has been extensively evaluated by radiomics. However, this technique has not been incorporated into clinical practice.… read more here.
Keywords: machine learning; glioma grading; systematic review; studies glioma ... See more keywords
Noninvasive Glioma Grading with Deep Learning: A Pilot Study
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220163
Abstract: Gliomas are the most common neuroepithelial brain tumors, different by various biological tissue types and prognosis. They could be graded with four levels according to the 2007 WHO classification. The emergence of non-invasive histological and… read more here.
Keywords: glioma grading; pilot study; noninvasive glioma; deep learning ... See more keywords
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2018.00804
Abstract: Background: Accurate glioma grading before surgery is of the utmost importance in treatment planning and prognosis prediction. But previous studies on magnetic resonance imaging (MRI) images were not effective enough. According to the remarkable performance… read more here.
Keywords: googlenet; transfer learning; glioma grading; deep learning ... See more keywords