Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

Схожі ресурси

• Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
  за авторством: Bao Ngoc Huynh, та інші
  Опубліковано: (2024-05-01)
• Positron emission tomography guided dose painting by numbers of lung cancer: Alanine dosimetry in an anthropomorphic phantom
  за авторством: Iosif Papoutsis, та інші
  Опубліковано: (2022-01-01)
• Assessment of pulmonary 18F-FDG-PET uptake and cytokine profiles in non-small cell lung cancer patients treated with radiotherapy and erlotinib
  за авторством: Azadeh Abravan, та інші
  Опубліковано: (2017-06-01)
• Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning
  за авторством: Aurora Rosvoll Groendahl, та інші
  Опубліковано: (2023-03-01)
• Direct integration of deep learning–based GTV auto-segmentation into a clinical radiotherapy planning system
  за авторством: Bao Ngoc Huynh, та інші
  Опубліковано: (2026-03-01)