Suchergebnisse - "Automated segmentation algorithms"

Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study

Autoren: Ribaldi, Federica Altomare, Daniele Jovicich, Jorge et al.

Weitere Verfasser: Ribaldi, Federica Altomare, Daniele Jovicich, Jorge et al.

Quelle: Ribaldi, F, Altomare, D, Jovicich, J, Ferrari, C, Picco, A, Pizzini, F B, Soricelli, A, Mega, A, Ferretti, A, Drevelegas, A, Bosch, B, Müller, B W, Marra, C, Cavaliere, C, Bartrés-Faz, D, Nobili, F, Alessandrini, F, Barkhof, F, Gros-Dagnac, H, Ranjeva, J-P, Wiltfang, J, Kuijer, J, Sein, J, Hoffmann, K-T, Roccatagliata, L, Parnetti, L, Tsolaki, M, Constantinidis, M, Aiello, M, Salvatore, M, Montalti, M, Caulo, M, Didic, M, Bargallo, N R, Blin, O, Rossini, P M, Schonknecht, P, Floridi, P, Payoux, P, Visser, P J, Bordet, R G, Lopes, R, Tarducci, R, Bombois, S, Hensch, T, Fiedler, U, Richardson, J C, Frisoni, G B & Marizzoni, M 2021, 'Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study', Magnetic Resonance Imaging, vol. 76, pp. 108-115. https://doi.org/10.1016/j.mri.2020.11.008

Schlagwörter: Adult, Male, Aging, Medizin, 618.97, Automation, 03 medical and health sciences, 0302 clinical medicine, White matter hyperintensities, Image Processing, Computer-Assisted, Humans, Lesion segmentation toolbox, Accuracy, Automated segmentation algorithms, Reproducibility, Reproducibility of Results, Magnetic Resonance Imaging, White Matter, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Cross-Sectional Studies, Image Processing, Computer-Assisted / methods, White Matter / diagnostic imaging, White Matter / pathology, Algorithms, Female

Dateibeschreibung: application/pdf

Zugangs-URL: https://discovery.ucl.ac.uk/10116936/3/Barkhof_Ribaldi.pdf
https://pubmed.ncbi.nlm.nih.gov/33220450
https://moh-it.pure.elsevier.com/en/publications/accuracy-and-reproducibility-of-automated-white-matter-hyperinten
https://www.sciencedirect.com/science/article/pii/S0730725X20306433
https://publicatt.unicatt.it/handle/10807/179168
https://ikee.lib.auth.gr/record/325511/
https://pubmed.ncbi.nlm.nih.gov/33220450/
https://www.ncbi.nlm.nih.gov/pubmed/33220450
https://research.vumc.nl/en/publications/3b9e50bf-3952-4a61-91c1-4a974ae6ecbb
https://resolver.sub.uni-goettingen.de/purl?gro-2/83236
https://amu.hal.science/hal-03500597v1
https://doi.org/10.1016/j.mri.2020.11.008
https://amu.hal.science/hal-03500597v1/document
https://hdl.handle.net/11379/595290
https://doi.org/10.1016/j.mri.2020.11.008
https://discovery-pp.ucl.ac.uk/id/eprint/10116936/

Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: a european multi-site 3t study

Autoren: Ribaldi, Federica Altomare, Daniele Jovicich, Jorge et al.

Weitere Verfasser: Ribaldi, Federica Altomare, Daniele Jovicich, Jorge et al.

Schlagwörter: Reproducibility, Automated segmentation algorithms, White matter hyperintensities, Lesion segmentation toolbox, Accuracy

Relation: Magnetic resonance imaging; Magn Reson Imaging; http://hdl.handle.net/20.500.12210/40343

Verfügbarkeit: https://hdl.handle.net/20.500.12210/40343

A patch-based convolutional neural network for localized MRI brain segmentation.

Autoren: Vambe, Trevor Constantine. Viriri, Serestina. Gwetu, Mandlenkosi Victor.

Weitere Verfasser: Vambe, Trevor Constantine. Viriri, Serestina. Gwetu, Mandlenkosi Victor.

Schlagwörter: Fully-automated segmentation algorithms, Semi-automated segmentation algorithms, Patch Based Segmentation, Magnetic resonance imaging, White matter, Grey matter, Cerebrospinal fluid

Dateibeschreibung: application/pdf

Relation: https://researchspace.ukzn.ac.za/handle/10413/21012

Verfügbarkeit: https://researchspace.ukzn.ac.za/handle/10413/21012

Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study

Autoren: Ribaldi, F. Altomare, D. Jovicich, J. et al.

Index Begriffe: Accuracy, Automated segmentation algorithms, Lesion segmentation toolbox, Reproducibility, White matter hyperintensities, Settore MED/26 - NEUROLOGIA, info:eu-repo/semantics/article

URL: http://hdl.handle.net/10807/179168
info:eu-repo/semantics/altIdentifier/pmid/33220450
info:eu-repo/semantics/altIdentifier/wos/WOS:000603405000004
volume:76
issue:76
firstpage:108
lastpage:115
numberofpages:8
issueyear:2021
journal:MAGNETIC RESONANCE IMAGING

Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol.

Autoren: Boccardi M Bocchetta M Morency FC et al.

Körperschaften: Boccardi M Bocchetta M Morency FC et al.

Quelle: Alzheimer's & dementia : the journal of the Alzheimer's Association [Alzheimers Dement] 2015 Feb; Vol. 11 (2), pp. 175-83. Date of Electronic Publication: 2015 Jan 20.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: John Wiley & Sons, Ltd Country of Publication: United States NLM ID: 101231978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-5279 (Electronic) Linking ISSN: 15525260 NLM ISO Abbreviation: Alzheimers Dement Subsets: MEDLINE

MeSH-Schlagworte: Algorithms*, Hippocampus/*pathology , Image Processing, Computer-Assisted/*methods , Magnetic Resonance Imaging/*methods , Neuroimaging/*methods , Pattern Recognition, Automated/*methods, Aged ; Aged, 80 and over ; Alzheimer Disease/pathology ; Atrophy ; Cognitive Dysfunction/pathology ; Female ; Functional Laterality ; Hippocampus/anatomy & histology ; Humans ; Imaging, Three-Dimensional/methods ; Magnetic Resonance Imaging/instrumentation ; Male ; Middle Aged ; Organ Size ; Reproducibility of Results ; Temporal Lobe/pathology