Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
Hugo J. KuijfJ. Matthijs BiesbroekJeroen de BresserRutger HeinenSimon AndermattMariana P. BentoMatt BersethMikhail BelyaevM. Jorge CardosoAdrià CasamitjanaD. Louis CollinsMahsa DadarAchilleas GeorgiouMohsen GhafoorianDakai JinApril KhademiJesse KnightHongwei LiXavier LladóMiguel LunaQaiser MahmoodRichard McKinleyAlireza MehrtashSébastien OurselinBo-yong ParkHyunjin ParkSang Hyun ParkSimon PezoldÉlodie PuybareauLetícia RittnerCarole H. SudreSergi ValverdeVerónica VilaplanaRoland WiestYongchao XuZiyue XuGuodong ZengJianguo ZhangGuoyan ZhengChristopher ChenWiesje M. van der FlierFrederik BarkhofMax A. ViergeverGeert Jan BiesselsPublished in: CoRR (2019)
Keyphrases
- automatic segmentation
- segmentation algorithm
- fiber bundles
- brain tissue
- white matter
- accurate segmentation
- grey matter
- gray matter
- automatically segmenting
- semi automatic segmentation
- manual segmentation
- cerebrospinal fluid
- corpus callosum
- brain mr images
- magnetic resonance images
- human brain
- diffusion tensor
- image segmentation
- graph cuts
- partial volume
- mri data
- segmentation method
- diffusion tensor imaging
- diffusion tensor images
- mr brain images
- brain mri
- medical images
- input image
- fully automatic
- level set
- atlas construction
- x ray
- computer vision
- mr images
- medical imaging
- region growing