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Validation of a Fully Automated Hybrid Deep Learning Cardiac Substructure Segmentation Tool for Contouring and Dose Evaluation in Lung Cancer Radiotherapy.
Chin, V; Finnegan, R N; Chlap, P; Otton, J; Haidar, A; Holloway, L; Thwaites, D I; Dowling, J; Delaney, G P; Vinod, S K.
Afiliação
  • Chin V; University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Ingham Institute for Applied Medical Research, Radiation Oncology, Sydney, Australia; Department of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia. Electronic address: vicky
  • Finnegan RN; Ingham Institute for Applied Medical Research, Radiation Oncology, Sydney, Australia; School of Physics, Institute of Medical Physics, University of Sydney, Sydney, Australia; Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, Australia.
  • Chlap P; University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Ingham Institute for Applied Medical Research, Radiation Oncology, Sydney, Australia; Department of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia.
  • Otton J; University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Department of Cardiology, Liverpool Hospital, Sydney, Australia.
  • Haidar A; University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Ingham Institute for Applied Medical Research, Radiation Oncology, Sydney, Australia; Department of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia.
  • Holloway L; University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Ingham Institute for Applied Medical Research, Radiation Oncology, Sydney, Australia; Department of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia; School of Physics, Instit
  • Thwaites DI; School of Physics, Institute of Medical Physics, University of Sydney, Sydney, Australia; Radiotherapy Research Group, Leeds Institute of Medical Research, St James's Hospital and University of Leeds, Leeds, UK.
  • Dowling J; University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; School of Physics, Institute of Medical Physics, University of Sydney, Sydney, Australia; CSIRO, Australian e-Health and Research Centre, Herston, Australia.
  • Delaney GP; University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Ingham Institute for Applied Medical Research, Radiation Oncology, Sydney, Australia; Department of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia.
  • Vinod SK; University of New South Wales, South Western Sydney Clinical School, Sydney, Australia; Ingham Institute for Applied Medical Research, Radiation Oncology, Sydney, Australia; Department of Radiation Oncology, Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia.
Clin Oncol (R Coll Radiol) ; 35(6): 370-381, 2023 06.
Article em En | MEDLINE | ID: mdl-36964031
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Etiology_studies / Guideline Limite: Humans Idioma: En Revista: Clin Oncol (R Coll Radiol) Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Etiology_studies / Guideline Limite: Humans Idioma: En Revista: Clin Oncol (R Coll Radiol) Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article