Cargando…

Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI

Tumor segmentation is a particularly challenging task in high-grade gliomas (HGGs), as they are among the most heterogeneous tumors in oncology. An accurate delineation of the lesion and its main subcomponents contributes to optimal treatment planning, prognosis and follow-up. Conventional MRI (cMRI...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sauwen, N., Acou, M., Van Cauter, S., Sima, D.M., Veraart, J., Maes, F., Himmelreich, U., Achten, E., Van Huffel, S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2016
Materias:	Regular Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079350/ https://www.ncbi.nlm.nih.gov/pubmed/27812502 http://dx.doi.org/10.1016/j.nicl.2016.09.021

Ejemplares similares

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization
por: Sauwen, Nicolas, et al.
Publicado: (2017)

The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization
por: Sauwen, Nicolas, et al.
Publicado: (2017)

Classifying Glioblastoma Multiforme Follow-Up Progressive vs. Responsive Forms Using Multi-Parametric MRI Features
por: Ion-Mărgineanu, Adrian, et al.
Publicado: (2017)

Non-invasive assessment of disease progression and neuroprotective effects of dietary coconut oil supplementation in the ALS SOD1(G93A) mouse model: A (1)H-magnetic resonance spectroscopic study
por: Weerasekera, A., et al.
Publicado: (2018)

icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions
por: Rakić, Mladen, et al.
Publicado: (2021)

Tumour Relapse Prediction Using Multiparametric MR Data Recorded during Follow-Up of GBM Patients
por: Ion-Margineanu, Adrian, et al.
Publicado: (2015)

Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework
por: Jain, Saurabh, et al.
Publicado: (2016)

Non-invasive characterization of amyotrophic lateral sclerosis in a hTDP-43(A315T) mouse model: A PET-MR study
por: Weerasekera, Akila, et al.
Publicado: (2020)

Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images
por: Wei, Yi-Chia, et al.
Publicado: (2022)

Non-parametric combination of multimodal MRI for lesion detection in focal epilepsy
por: Isen, Jonah, et al.
Publicado: (2021)

Anatomic & metabolic brain markers of the m.3243A>G mutation: A multi-parametric 7T MRI study
por: Haast, Roy A.M., et al.
Publicado: (2018)

Inter-rater agreement in glioma segmentations on longitudinal MRI
por: Visser, M., et al.
Publicado: (2019)

AUCseg: An Automatically Unsupervised Clustering Toolbox for 3D-Segmentation of High-Grade Gliomas in Multi-Parametric MR Images
por: Zhao, Botao, et al.
Publicado: (2021)

Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation
por: Thulasi Seetha, Sithin, et al.
Publicado: (2023)

SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder
por: Atlason, Hans E., et al.
Publicado: (2019)

Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising
por: Grussu, Francesco, et al.
Publicado: (2020)

Utility metric for unsupervised feature selection
por: Villa, Amalia, et al.
Publicado: (2021)

GUBS: Graph-Based Unsupervised Brain Segmentation in MRI Images
por: Mayala, Simeon, et al.
Publicado: (2022)

Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification
por: Juan-Albarracín, Javier, et al.
Publicado: (2015)

Optofluidic detection setup for multi-parametric analysis of microbiological samples in droplets
por: Hengoju, S., et al.
Publicado: (2020)

Radiomic Analysis of Multi-parametric MR Images (MRI) for Classification of Parotid Tumors
por: Fathi Kazerooni, Anahita, et al.
Publicado: (2022)

Sleep and the epidemic of obesity in children and adults
por: Van Cauter, Eve, et al.
Publicado: (2008)

A potential field segmentation based method for tumor segmentation on multi-parametric MRI of glioma cancer patients
por: Sun, Ranran, et al.
Publicado: (2019)

Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans
por: Jlassi, Amal, et al.
Publicado: (2020)

Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI
por: Feis, Rogier A., et al.
Publicado: (2018)

A semi-parametric Bayesian model for unsupervised differential co-expression analysis
por: Freudenberg, Johannes M, et al.
Publicado: (2010)

Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients
por: de Vos, Frank, et al.
Publicado: (2020)

An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images
por: Caballo, Marco, et al.
Publicado: (2018)

Differentiation of renal masses with multi-parametric MRI: the de Silva St George classification scheme
por: de Silva, Suresh, et al.
Publicado: (2022)

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
por: Bengs, Marcel, et al.
Publicado: (2021)

Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data
por: Ackaouy, Antoine, et al.
Publicado: (2020)

Predicting behavioral variant frontotemporal dementia with pattern classification in multi-center structural MRI data
por: Meyer, Sebastian, et al.
Publicado: (2017)

MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?
por: Egger, Christine, et al.
Publicado: (2016)

Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery
por: Nitsch, J., et al.
Publicado: (2019)

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
por: Xue, Yunzhe, et al.
Publicado: (2019)

Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI
por: Arnold, T. Campbell, et al.
Publicado: (2022)

An unsupervised strategy for biomedical image segmentation
por: Rodríguez, Roberto, et al.
Publicado: (2010)

Latent space unsupervised semantic segmentation
por: Strommen, Knut J., et al.
Publicado: (2023)

CryptoCEST: A promising tool for spatially resolved identification of fungal brain lesions and their differentiation from brain tumors with MRI
por: Vanherp, Liesbeth, et al.
Publicado: (2021)

Unsupervised Text Segmentation Predicts Eye Fixations During Reading
por: Yang, Jinbiao, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_7ipv60gq6cgqs8sdmjbbnhg7i2