Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms.
L. B. van den OeverW. A. van VeldhuizenLudo J. CornelissenD. S. SpoorTineke P. WillemsG. KramerT. StigterMieneke RookA. P. G. CrijnsMatthijs OudkerkRaymond N. J. VeldhuisGeertruida H. de BockPeter M. A. van OoijenPublished in: J. Digit. Imaging (2022)
Keyphrases
- automatic segmentation
- ct images
- qualitative evaluation
- treatment planning
- quantitative analysis
- accurate segmentation
- traumatic brain injury
- quantitative evaluation
- manual segmentation
- computed tomography
- medical images
- segmentation algorithm
- medical imaging
- heart disease
- ct scans
- clinical practice
- automated segmentation
- pet ct
- ct data
- clinical applications
- computer tomography
- pulmonary nodules
- lung nodules
- region of interest
- cardiovascular disease
- lymph nodes
- machine learning
- medical data
- liver segmentation
- high quality
- ground truth
- clinical data
- x ray
- medical diagnosis
- imaging modalities
- patient data
- three dimensional
- left ventricle
- clinical trials