Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation.
Ziyan HuangJin YeHaoyu WangZhongying DengTianbin LiJunjun HePublished in: FLARE@MICCAI (2023)
Keyphrases
- abdominal organs
- medical images
- lymph nodes
- organ segmentation
- image segmentation
- abdominal ct images
- liver segmentation
- computed tomography images
- image parsing
- fully automatic
- segmentation algorithm
- automatic segmentation
- crf model
- image labeling
- automated segmentation
- segmentation method
- ct scans
- interactive image segmentation
- medical image segmentation
- breast cancer
- level set
- medical image processing
- active learning
- ct data
- scene labeling
- rib cage
- automatically segmenting
- cancer diagnosis
- image analysis
- region growing
- inference process
- multiscale
- label fusion
- shape prior
- labeling process
- early detection
- structured prediction
- semantic segmentation
- labeling problems
- anatomical structures
- manual segmentation
- lung cancer
- mr images
- energy function
- graph cuts
- bayesian networks