Evaluation of U-net segmentation models for infarct volume measurement in acute ischemic stroke: comparison with fixed ADC threshold-based methods.
Yoon-Chul KimJi-Eun LeeInwu YuIn-Young BaekHan-Gil JeongBeom-Joon KimJoon-Kyung SeongJong-Won ChungOh Young BangWoo-Keun SeoPublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- statistical models
- gold standard
- statistical methods
- segmentation accuracy
- segmentation algorithm
- evaluation metrics
- knowledge base
- quantitative evaluation
- machine learning methods
- test images
- image segmentation algorithms
- learned models
- predictive model
- mathematical models
- classification models
- medical imaging
- segmentation method
- machine learning algorithms
- data analysis
- multiscale
- image processing