Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images.
Sungho SuhSojeong CheonWonseo ChoiYeon Woong ChungWon-Kyung ChoJi-Sun PaikSung Eun KimDong-Jin ChangYong Oh LeePublished in: CoRR (2021)
Keyphrases
- ct images
- domain adaptation
- medical images
- semi supervised
- medical imaging
- liver segmentation
- lung nodules
- pet ct
- fracture detection
- computed tomography
- computer tomography
- ct scans
- pet images
- labeled data
- multiple sources
- cross domain
- lung parenchyma
- region of interest
- transfer learning
- ground glass opacity
- learning algorithm
- image segmentation
- image analysis
- level set
- medical image processing
- fully automatic
- supervised learning
- lymph nodes
- sentiment classification
- target domain
- semi supervised learning
- unlabeled data
- ct data
- co training
- mr images
- segmentation algorithm
- x ray
- text classification
- unsupervised learning
- pulmonary nodules
- computer vision