Multi-Atlas Corpus Callosum Segmentation with Adaptive Atlas Selection

Keywords

abstract accuracy adaptive advancement analyze anterior applied atlas atlases automated automatically availability available became beforehand brain building bundle classification classifications classifier classify close cohorts computation computed computer connecting consensus consideration corpus correlation cost cross databases dataset defined deform delineated demonstrating detected diagnosis dice disorders dual employing example extend facilitates fast fields final fixed fusion glen greatly hardware hemispheres highest hillside idea identifying index individual institute inter intra introduced known landmarks largest leave library like linear local locate located locates location locations male manual manually mapped matching merged merging mostly next nonlinear nonlinearly novel oaks optimal paper part passing pixel posterior predictions problem process programming progress proposed psychiatric psychiatry quad quantify rater rectangular reducing registration represent reproducibility resolution rule school search segmentation segmentations selected selection separately several similarity slice software sought statistics structure studies subjects submitted subset substantially successful table take takes template templates validation varies various vote warped window years yields