VerSe: A Vertebrae Labelling and Segmentation Benchmark.
Anjany SekuboyinaAmirhossein BayatMalek El HusseiniMaximilian LöfflerMarkus RempflerJan KukackaGiles TettehAlexander ValentinitschChristian PayerMartin UrschlerMaodong ChenDalong ChengNikolas LessmannYujin HuTianfu WangDong YangDaguang XuFelix AmbellanStefan ZachowTao JiangXinjun MaChristoph AngermanXin WangQingyue WeiKevin BrownMatthias WolfAlexandre KirszenbergÉlodie PuybareauBjörn H. MenzeJan S. KirschkePublished in: CoRR (2020)
Keyphrases
- segmentation algorithm
- medical imaging
- medical images
- image segmentation
- x ray images
- region growing
- fully automatic
- brain mri
- quantitative evaluation
- level set
- ct and mr images
- berkeley segmentation dataset
- segmentation method
- edge detection
- statistical shape model
- segmentation accuracy
- boundary detection
- image analysis
- ground truth
- shape prior
- grey level
- motion segmentation
- object segmentation
- automatic segmentation
- real world
- multiscale
- active shape model
- multiresolution
- ground truth data
- deformable models
- energy function
- optimal segmentation
- mutual information