Sven Koitka, Giulia Baldini, Lennard Kroll, Natalie van Landeghem, Olivia B Pollok, Johannes Haubold, Obioma Pelka, Moon Kim, Jens Kleesiek, Felix Nensa, René Hosch
The Sparsely Annotated Region and Organ Segmentation (SAROS) dataset was created using data from The Cancer Imaging Archive (TCIA) to provide a large open-access CT dataset with high-quality annotations of body landmarks. In-house segmentation models were employed to generate annotation proposals on randomly selected cases from TCIA. The dataset includes 13 semantic body region labels (abdominal/thoracic cavity, bones, brain, breast implant, mediastinum, muscle, parotid/submandibular/thyroid glands, pericardium, spinal cord, subcutaneous tissue) and six body part labels (left/right arm/leg, head, torso)...
May 10, 2024: Scientific Data