Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study.

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Title: Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study.
Authors: Arbabi S; Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.; Department of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands., Arbabi V; Department of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.; Orthopaedic-Biomechanics Research Group, Department of Mechanical Engineering, Faculty of Engineering, Birjand 561, Iran., Costa L; Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.; Department of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands., Katen IT; Department of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands., Mastbergen SC; Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands., Seevinck PR; Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.; MRIguidance B.V., 3584 CX Utrecht, The Netherlands., de Jong PA; Department of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands., Weinans H; Department of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.; Department of Biomechanical Engineering, Delft University of Technology (TU Delft), 2628 CD Delft, The Netherlands., Jansen MP; Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands., Foppen W; Department of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Source: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2025 Jun 09; Vol. 15 (12). Date of Electronic Publication: 2025 Jun 09.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2075-4418
DOI:10.3390/diagnostics15121469