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300 LIDAR images with COCO segmentation labels for ancient foundation detection
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2D Upper airway annotated MRI dataset
This dataset consists of manually segmented 2D static upper airway images acquired at the University of Iowa 3T research scanner. The images were captured using a fast GRE sequence in the midsagittal
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test video.mp4
This is a test video about an image segmentation model applied to the video domain
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Table_3_A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images.xlsx
BackgroundMuscle wasting (Sarcopenia) is associated with poor outcomes in cancer patients. Early identification of sarcopenia can facilitate nutritional and exercise intervention. Cross-sectional skel
NIAID Data Ecosystem50
