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- Title
SAROS: A dataset for whole-body region and organ segmentation in CT imaging.
- Authors
Koitka, Sven; Baldini, Giulia; Kroll, Lennard; van Landeghem, Natalie; Pollok, Olivia B.; Haubold, Johannes; Pelka, Obioma; Kim, Moon; Kleesiek, Jens; Nensa, Felix; Hosch, René
- Abstract
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). Case selection was based on the DICOM series description, gender, and imaging protocol, resulting in 882 patients (438 female) for a total of 900 CTs. Manual review and correction of proposals were conducted in a continuous quality control cycle. Only every fifth axial slice was annotated, yielding 20150 annotated slices from 28 data collections. For the reproducibility on downstream tasks, five cross-validation folds and a test set were pre-defined. The SAROS dataset serves as an open-access resource for training and evaluating novel segmentation models, covering various scanner vendors and diseases.
- Subjects
COMPUTED tomography; IMAGE segmentation; CHEST (Anatomy); BREAST implants; THYROID gland; TORSO; PERICARDIUM
- Publication
Scientific Data, 2024, Vol 11, Issue 1, p1
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-024-03337-6