Automatic Skeletal Muscle Segmentation Through Random Walks with Shape Prior Information

Keywords

achieved acquisition activities adding addition affect ages annotated annotations appearance applied around array assigned assignment atlas attention automatic body bottom chose close coefficients coils combinatorial component computing confidence consistently constrain constraining contour contours corresponds cost covering deformations dense depend determine developing dice differently discriminative efficient entire errors evaluated evolution exact examinations expected extreme extremely facilitate formulated fully function functional galen graph ground hence identify importance improves intervention issues keeping knowledge label leave little machine majority manually materials measure medical model modulate morphologies muscle muscles necessary object observe overlap overlapping part partial passed pixel pixels poses potential precisely prior probabilistic probability programming promising protocol providing random rather referred registered registration scanner seeds segmentation segmentations segmented segmenting serve sexes shape shaped simple simultaneous skeletal solution strength strong subjects tedious tend term thigh tool traditional training transmitter truth undirected unique upper user usually validated variance variations volume volumes walk walker walks whole yields zero