Combining nnUNet and AutoML for Automatic Head and Neck Tumor Segmentation and Recurrence-Free Survival Prediction in PET/CT Images.
Qing LyuPublished in: HECKTOR@MICCAI (2022)
Keyphrases
- ct images
- pet ct
- lung cancer
- survival prediction
- lymph nodes
- pet images
- tumor segmentation
- computed tomography
- medical images
- medical imaging
- ct scans
- image reconstruction
- brain tumors
- region of interest
- treatment planning
- brain mr images
- positron emission tomography
- imaging modalities
- fully automatic
- fracture detection
- magnetic resonance imaging
- machine learning
- mr images
- ct data
- image analysis
- three dimensional
- image processing
- feature selection
- computer vision