Cargando…

An evaluation of performance measures for arterial brain vessel segmentation

BACKGROUND: Arterial brain vessel segmentation allows utilising clinically relevant information contained within the cerebral vascular tree. Currently, however, no standardised performance measure is available to evaluate the quality of cerebral vessel segmentations. Thus, we developed a performance...

Descripción completa

Detalles Bibliográficos
Autores principales:	Aydin, Orhun Utku, Taha, Abdel Aziz, Hilbert, Adam, Khalil, Ahmed A., Galinovic, Ivana, Fiebach, Jochen B., Frey, Dietmar, Madai, Vince Istvan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283850/ https://www.ncbi.nlm.nih.gov/pubmed/34271876 http://dx.doi.org/10.1186/s12880-021-00644-x

Ejemplares similares

On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
por: Aydin, Orhun Utku, et al.
Publicado: (2021)

Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
por: Aydin, Orhun Utku, et al.
Publicado: (2022)

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease
por: Hilbert, Adam, et al.
Publicado: (2020)

Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease
por: Hilbert, Adam, et al.
Publicado: (2022)

Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome
por: Zihni, Esra, et al.
Publicado: (2020)

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
por: Livne, Michelle, et al.
Publicado: (2019)

Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks
por: Kossen, Tabea, et al.
Publicado: (2022)

Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy
por: Behland, Jonas, et al.
Publicado: (2023)

Differentiation of Cerebral Neoplasms with Vessel Size Imaging (VSI)
por: Foda, Asmaa, et al.
Publicado: (2021)

A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease
por: Frey, Dietmar, et al.
Publicado: (2021)

The ratio between cerebral blood flow and Tmax predicts the quality of collaterals in acute ischemic stroke
por: Galinovic, Ivana, et al.
Publicado: (2018)

The Association Between Recanalization, Collateral Flow, and Reperfusion in Acute Stroke Patients: A Dynamic Susceptibility Contrast MRI Study
por: Villringer, Kersten, et al.
Publicado: (2019)

Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomalies
por: Gerken, Annika, et al.
Publicado: (2023)

Automated acute ischemic stroke lesion delineation based on apparent diffusion coefficient thresholds
por: Gosch, Vitus, et al.
Publicado: (2023)

Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores
por: Dengler, Nora Franziska, et al.
Publicado: (2021)

The Effect of Scan Length on the Assessment of BOLD Delay in Ischemic Stroke
por: Tanrıtanır, Ayse Ceren, et al.
Publicado: (2020)

Difficulty of MRI Based Identification of Lesion Age by Acute Infra-Tentorial Ischemic Stroke
por: Grosse-Dresselhaus, Florian, et al.
Publicado: (2014)

Enhancing the prediction for shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage using a machine learning approach
por: Frey, Dietmar, et al.
Publicado: (2023)

DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke
por: Madai, Vince I., et al.
Publicado: (2014)

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
por: Amann, Julia, et al.
Publicado: (2020)

Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease
por: Kossen, Tabea, et al.
Publicado: (2023)

Automated vs manual delineations of regions of interest- a comparison in commercially available perfusion MRI software
por: Galinovic, Ivana, et al.
Publicado: (2012)

The impact of COVID-19 on home, social, and productivity integration of people with chronic traumatic brain injury or stroke living in the community
por: García-Rudolph, Alejandro, et al.
Publicado: (2022)

Comparing Poor and Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy in Acute Ischemic Stroke
por: Mutke, Matthias A., et al.
Publicado: (2022)

Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke
por: Amann, Julia, et al.
Publicado: (2023)

The impact of coronavirus disease 2019 on emotional and behavioral stress of informal family caregivers of individuals with stroke or traumatic brain injury at chronic phase living in a Mediterranean setting
por: Garcia‐Rudolph, Alejandro, et al.
Publicado: (2021)

Reclassifications of ischemic stroke patterns due to variants of the Circle of Willis
por: Rangus, Ida, et al.
Publicado: (2021)

Magnetic resonance imaging-based changes in vascular morphology and cerebral perfusion in subacute ischemic stroke
por: Kufner, Anna, et al.
Publicado: (2021)

Toward Personalized Web-Based Cognitive Rehabilitation for Patients With Ischemic Stroke: Elo Rating Approach
por: Garcia-Rudolph, Alejandro, et al.
Publicado: (2021)

COVID-19−Associated Encephalitis Mimicking Glial Tumor
por: Efe, Ibrahim E., et al.
Publicado: (2020)

Adapting the Computed Tomography Criteria of Hemorrhagic Transformation to Stroke Magnetic Resonance Imaging
por: Neeb, Lars, et al.
Publicado: (2013)

Machine Learning–Based Identification of Target Groups for Thrombectomy in Acute Stroke
por: Quandt, Fanny, et al.
Publicado: (2022)

Total perfusion-diffusion mismatch detected using resting-state functional MRI
por: Khalil, Ahmed, et al.
Publicado: (2021)

Extent of FLAIR Hyperintense Vessels May Modify Treatment Effect of Thrombolysis: A Post hoc Analysis of the WAKE-UP Trial
por: Grosch, Anne Sophie, et al.
Publicado: (2021)

Neuropsychological Assessments of Patients With Acquired Brain Injury: A Cluster Analysis Approach to Address Heterogeneity in Web-Based Cognitive Rehabilitation
por: García-Rudolph, Alejandro, et al.
Publicado: (2021)

Hepatic Vein and Arterial Vessel Segmentation in Liver Tumor Patients
por: Kuang, Haopeng, et al.
Publicado: (2022)

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
por: Taha, Abdel Aziz, et al.
Publicado: (2015)

Long-segment arterial cerebral vessel thrombosis after mild COVID-19
por: Sartoretti, Elisabeth, et al.
Publicado: (2020)

You Can’t Have AI Both Ways: Balancing Health Data Privacy and Access Fairly
por: Bak, Marieke, et al.
Publicado: (2022)

The Precapillary Segment of the Blood-Brain Barrier and Its Relation to Perivascular Drainage in Alzheimer's Disease and Small Vessel Disease.
por: Thal, Dietmar R.
Publicado: (2009)

Cannot write session to /tmp/vufind_sessions/sess_r3mhj57t60s171bp4glulad3in