Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach.
Hung ChuLuis Ricardo De la O. ArévaloWei TangBaoqiang MaYan LiAlessia De BiaseStefan BothJohannes A. LangendijkPeter M. A. van OoijenNanna Maria SijtsemaLisanne van DijkPublished in: HECKTOR@MICCAI (2022)
Keyphrases
- lymph nodes
- transfer learning
- pet images
- ct scans
- automatic detection
- cancer diagnosis
- ct imaging
- ct images
- ct data
- computed tomography
- lung cancer
- automatic segmentation
- reinforcement learning
- labeled data
- collaborative filtering
- semi supervised learning
- computer tomography
- active learning
- machine learning
- medical images
- image reconstruction
- machine learning algorithms
- text categorization
- positron emission tomography
- x ray
- segmentation algorithm
- brain tumors
- automated segmentation
- treatment planning
- domain specific
- patient specific
- clinical data
- blood vessels
- intraoperative
- medical imaging
- three dimensional
- decision trees
- unsupervised learning