Login / Signup

Clinical target volume automatic segmentation based on lymph node stations for lung cancer with bulky lump lymph nodes.

Jie ShenFuquan ZhangMingyi DiJing ShenShaobin WangQi ChenYu ChenZhikai LiuXin LianJiabin MaTingtian PangTingting DongBei WangQiu GuanLei HeYue ZhangHao Liang
Published in: Thoracic cancer (2022)
This is the first study to propose a method that automatically contours lymph node regions station by station based on the IASLC lymph node map with bulky lump GTVnd. Delineation of lymph node stations based on the DiUNet model is a promising strategy to obtain accuracy and efficiency for CTV delineation in lung cancer patients, especially for bulky lump GTVnd.
Keyphrases
  • lymph node
  • sentinel lymph node
  • neoadjuvant chemotherapy
  • deep learning
  • convolutional neural network
  • squamous cell carcinoma
  • rectal cancer
  • locally advanced