Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades

Những quyển sách tương tự

• Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy
  Bằng: Men, Kuo, et al.
  Được phát hành: (2018)
• A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer
  Bằng: Men, Kuo, et al.
  Được phát hành: (2018)
• A deep learning model for predicting xerostomia due to radiotherapy for head-and-neck squamous cell carcinoma in the RTOG 0522 clinical trial
  Bằng: Men, Kuo, et al.
  Được phát hành: (2019)
• Fully automatic multi‐organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks
  Bằng: Tong, Nuo, et al.
  Được phát hành: (2018)
• Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
  Bằng: Wang, Bo, et al.
  Được phát hành: (2019)