A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease.

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Bibliographic Details
Title: A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease.
Authors: Badesha AS; Department of Radiology, St. James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds LS9 7TF, UK., Frood R; Department of Radiology, St. James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds LS9 7TF, UK.; Faculty of Medicine and Health, University of Leeds, Leeds LS2 9TJ, UK., Bailey MA; Faculty of Medicine and Health, University of Leeds, Leeds LS2 9TJ, UK.; The Leeds Vascular Institute, Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust, Leeds LS1 3EX, UK., Coughlin PM; The Leeds Vascular Institute, Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust, Leeds LS1 3EX, UK., Scarsbrook AF; Department of Radiology, St. James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds LS9 7TF, UK.; Faculty of Medicine and Health, University of Leeds, Leeds LS2 9TJ, UK.
Source: Tomography (Ann Arbor, Mich.) [Tomography] 2024 Sep 03; Vol. 10 (9), pp. 1455-1487. Date of Electronic Publication: 2024 Sep 03.
Publication Type: Journal Article; Scoping Review
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101671170 Publication Model: Electronic Cited Medium: Internet ISSN: 2379-139X (Electronic) Linking ISSN: 23791381 NLM ISO Abbreviation: Tomography Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2379-139X
DOI:10.3390/tomography10090108