Segmentation quality assessment by automated detection of erroneous surface regions in medical images.
Fahim A. ZamanLichun ZhangHonghai ZhangMilan SonkaXiaodong WuPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- medical images
- quality assessment
- automated detection
- region of interest
- medical imaging
- medical image analysis
- automated analysis
- anatomical structures
- mr images
- medical image segmentation
- magnetic resonance
- ct images
- magnetic resonance images
- image quality
- image intensity
- lung cancer
- biomedical images
- segmentation of medical images
- deformable models
- volumetric data
- image quality assessment
- data quality
- human visual system
- computer aided diagnosis
- imaging modalities
- magnetic resonance imaging
- image features
- level set