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A semi-automatic segmentation method for meningioma developed using a variational approach model.

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Title: A semi-automatic segmentation method for meningioma developed using a variational approach model.
Authors: Burrows L; Department of Mathematical Sciences and Centre for Mathematical Imaging Techniques, University of Liverpool, UK., Patel J; Department of Neuroradiology, The Walton Centre NHS Foundation Trust, UK., Islim AI; Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, UK.; Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northren Care Alliance NHS Foundation Trust, UK., Jenkinson MD; Department of Neurosurgery, The Walton Centre NHS Foundation Trust, UK.; Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK., Mills SJ; Department of Neuroradiology, The Walton Centre NHS Foundation Trust, UK.; Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK., Chen K; Department of Mathematical Sciences and Centre for Mathematical Imaging Techniques, University of Liverpool, UK.; Department of Mathematics and Statistics, University of Strathclyde, UK.
Source: The neuroradiology journal [Neuroradiol J] 2024 Apr; Vol. 37 (2), pp. 199-205. Date of Electronic Publication: 2023 Dec 26.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 101295103 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2385-1996 (Electronic) Linking ISSN: 19714009 NLM ISO Abbreviation: Neuroradiol J Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="JN" term="%22101295103%22">The neuroradiology journal</searchLink> [Neuroradiol J] 2024 Apr; Vol. 37 (2), pp. 199-205. <i>Date of Electronic Publication: </i>2023 Dec 26.
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        Value: 10.1177/19714009231224442
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        Text: English
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              Text: 2024 Apr
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