Segmentation of the thoracolumbar fascia in ultrasound imaging: a deep learning approach.

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Title: Segmentation of the thoracolumbar fascia in ultrasound imaging: a deep learning approach.
Authors: Bonaldi L; Department of Civil, Environmental and Architectural Engineering, University of Padova, 35131, Padova, Italy.; Center for Mechanics of Biological Materials, University of Padova, 35131, Padova, Italy., Pirri C; Center for Mechanics of Biological Materials, University of Padova, 35131, Padova, Italy.; Department of Neuroscience, Institute of Anatomy, University of Padova, 35131, Padova, Italy., Giordani F; Neurological Rehabilitation Centre, Villa Rosa, Trento, Italy., Fontanella CG; Center for Mechanics of Biological Materials, University of Padova, 35131, Padova, Italy. chiaragiulia.fontanella@unipd.it.; Department Industrial Engineering, Center for Mechanics of Biological Materials, University of Padova, 35131, Padova, Italy. chiaragiulia.fontanella@unipd.it., Stecco C; Center for Mechanics of Biological Materials, University of Padova, 35131, Padova, Italy.; Department of Neuroscience, Institute of Anatomy, University of Padova, 35131, Padova, Italy., Uccheddu F; Center for Mechanics of Biological Materials, University of Padova, 35131, Padova, Italy.; Department Industrial Engineering, Center for Mechanics of Biological Materials, University of Padova, 35131, Padova, Italy.
Source: BMC medical imaging [BMC Med Imaging] 2025 May 15; Vol. 25 (1), pp. 164. Date of Electronic Publication: 2025 May 15.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2342
DOI:10.1186/s12880-025-01720-2