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A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.
Agn, Mikael; Munck Af Rosenschöld, Per; Puonti, Oula; Lundemann, Michael J; Mancini, Laura; Papadaki, Anastasia; Thust, Steffi; Ashburner, John; Law, Ian; Van Leemput, Koen.
Afiliação
  • Agn M; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark. Electronic address: miag@dtu.dk.
  • Munck Af Rosenschöld P; Radiation Physics, Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden.
  • Puonti O; Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Denmark.
  • Lundemann MJ; Department of Oncology, Copenhagen University Hospital Rigshospitalet, Denmark.
  • Mancini L; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, UK; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, UK.
  • Papadaki A; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, UK; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, UK.
  • Thust S; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, UK; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, UK.
  • Ashburner J; Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, UK.
  • Law I; Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark.
  • Van Leemput K; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA.
Med Image Anal ; 54: 220-237, 2019 05.
Article em En | MEDLINE | ID: mdl-30952038
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Glioblastoma / Órgãos em Risco Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Glioblastoma / Órgãos em Risco Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article