Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network.

Runyuan WangXingcai ChenXiaoqin ZhangPing HeJinfeng MaHuilin CuiXimei CaoYongjian NianXiming XuWei WuYi Wu

Published in: Cancer medicine (2024)

The UperNet Swin showed excellent efficiency in autosegmentation and volume measurement of EC, MLN and its adjacent structures in different T stage, which can help to T and N stage diagnose EC and will save clinicians time and energy.

Keyphrases

deep learning
lymph node
convolutional neural network
high resolution
squamous cell carcinoma
small cell lung cancer
machine learning
palliative care
optical coherence tomography