An Automatic Localization of Anterior Commissure and Posterior Commissure in MR Images Using Hierarchical Attribute Vectors

Keywords

accuracy addition adjusted anterior applied assumption atrophy attribute automatic automatically available brain callous china clinic clustering coded college color combined composite computational computer conducted contained coordinates core corpus correct correlation create critical cross database defined delineated delineation dementia dependence detected detection detector determined distance divided dual edge efficiency efficient electronics engineering euclidean evaluated experienced experiment experimental facilitate failure fast generated generating gold guided hierarchical hierarchically highest human identified important indicate intensity interface introduced labeled labeling labels landmark landmarks lewis likelihood limitation localization location manual manually many maps mask matching measure methodology minutes modalities modality normalization normalized normally novel oasis others park peak people performance posterior precise predefined preprocessing problems procedures processed processing proposed radiology rams randomly rating recorded reliability republic resolution resolutions scores segment segmentation selected sets similarity sober spatial statistics step strength subjects successful table target template third tissue tolerance types unsupervised upon utilized various vector vectors vision volumetric white