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Clinical target volume delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation.
Min, Hang; Dowling, Jason; Jameson, Michael G; Cloak, Kirrily; Faustino, Joselle; Sidhom, Mark; Martin, Jarad; Cardoso, Michael; Ebert, Martin A; Haworth, Annette; Chlap, Phillip; de Leon, Jeremiah; Berry, Megan; Pryor, David; Greer, Peter; Vinod, Shalini K; Holloway, Lois.
Affiliation
  • Min H; CSIRO Australian e-Health Research Centre, Herston, Queensland, Australia; Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia; South Western Clinical Campuses, University of New South Wales, Australia. Electronic address: hang.min@csiro.au.
  • Dowling J; CSIRO Australian e-Health Research Centre, Herston, Queensland, Australia; South Western Clinical Campuses, University of New South Wales, Australia; Centre for Medical Radiation Physics, University of Wollongong, New South Wales, Australia; Institute of Medical Physics, The University of Sydney, Ne
  • Jameson MG; Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Australia; GenesisCare, Sydney, New South Wales, Australia; Liverpool and Macarthur Cancer therapy Centres, Liverpool Hospital, New Sou
  • Cloak K; Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia; South Western Clinical Campuses, University of New South Wales, Australia.
  • Faustino J; Liverpool and Macarthur Cancer therapy Centres, Liverpool Hospital, New South Wales, Australia.
  • Sidhom M; South Western Clinical Campuses, University of New South Wales, Australia; Liverpool and Macarthur Cancer therapy Centres, Liverpool Hospital, New South Wales, Australia.
  • Martin J; Calvary Mater Newcastle Hospital, Radiation Oncology, Newcastle, Australia.
  • Cardoso M; Liverpool and Macarthur Cancer therapy Centres, Liverpool Hospital, New South Wales, Australia.
  • Ebert MA; Centre for Medical Radiation Physics, University of Wollongong, New South Wales, Australia; Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia; School of Physics Mathematics and Computing, University of Western Australia, Perth, Western Australia,
  • Haworth A; Institute of Medical Physics, The University of Sydney, New South Wales, Australia.
  • Chlap P; Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia; South Western Clinical Campuses, University of New South Wales, Australia; Liverpool and Macarthur Cancer therapy Centres, Liverpool Hospital, New South Wales, Australia.
  • de Leon J; GenesisCare, Sydney, New South Wales, Australia; Illawarra Cancer Care Centre, Wollongong, Australia.
  • Berry M; Liverpool and Macarthur Cancer therapy Centres, Liverpool Hospital, New South Wales, Australia.
  • Pryor D; Princess Alexandra Hospital, Brisbane, Queensland, Australia.
  • Greer P; School of Mathematical and Physical Sciences, University of Newcastle, New South Wales, Australia; Calvary Mater Newcastle Hospital, Radiation Oncology, Newcastle, Australia.
  • Vinod SK; Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia; South Western Clinical Campuses, University of New South Wales, Australia; Liverpool and Macarthur Cancer therapy Centres, Liverpool Hospital, New South Wales, Australia.
  • Holloway L; Ingham Institute for Applied Medical Research, Sydney, New South Wales, Australia; South Western Clinical Campuses, University of New South Wales, Australia; Centre for Medical Radiation Physics, University of Wollongong, New South Wales, Australia; Institute of Medical Physics, The University of Sy
Radiother Oncol ; 186: 109794, 2023 09.
Article in En | MEDLINE | ID: mdl-37414257
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Radiotherapy, Image-Guided / Deep Learning Type of study: Guideline Limits: Humans / Male Language: En Journal: Radiother Oncol Year: 2023 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Radiotherapy, Image-Guided / Deep Learning Type of study: Guideline Limits: Humans / Male Language: En Journal: Radiother Oncol Year: 2023 Document type: Article Country of publication: