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A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.
Mylonas, Adam; Keall, Paul J; Booth, Jeremy T; Shieh, Chun-Chien; Eade, Thomas; Poulsen, Per Rugaard; Nguyen, Doan Trang.
Affiliation
  • Mylonas A; Faculty of Medicine and Health, ACRF Image X Institute, The University of Sydney, Sydney, NSW, Australia.
  • Keall PJ; Faculty of Medicine and Health, ACRF Image X Institute, The University of Sydney, Sydney, NSW, Australia.
  • Booth JT; Royal North Shore Hospital, Northern Sydney Cancer Centre, St Leonards, NSW, Australia.
  • Shieh CC; Faculty of Medicine and Health, ACRF Image X Institute, The University of Sydney, Sydney, NSW, Australia.
  • Eade T; Royal North Shore Hospital, Northern Sydney Cancer Centre, St Leonards, NSW, Australia.
  • Poulsen PR; Department of Oncology, Aarhus University Hospital, 8000, Aarhus, Denmark.
  • Nguyen DT; Faculty of Medicine and Health, ACRF Image X Institute, The University of Sydney, Sydney, NSW, Australia.
Med Phys ; 46(5): 2286-2297, 2019 May.
Article in En | MEDLINE | ID: mdl-30929254
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Fluoroscopy / Dose Fractionation, Radiation / Fiducial Markers / Radiotherapy, Image-Guided / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans / Male Language: En Journal: Med Phys Year: 2019 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Fluoroscopy / Dose Fractionation, Radiation / Fiducial Markers / Radiotherapy, Image-Guided / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans / Male Language: En Journal: Med Phys Year: 2019 Document type: Article Affiliation country: