Laura Carretero1, Pablo García-Polo1, Suryanarayanan Kaushik 2, Maggie Fung2, Bruno Astuto3,4, Rutwik Shah3,4, Pablo F Damasceno3,4, Valentina Pedoia3,4, Sharmila Majumdar3,4, and Mario Padrón5
1Global Research Organization, GE Healthcare, Madrid, Spain, 2GE Healthcare, Waukesha, WI, United States, 3Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 4Center for Digital Health Innovation, UCSF, San Francisco, CA, United States, 5Department of Radiology, Clínica Cemtro, Madrid, Spain
1Global Research Organization, GE Healthcare, Madrid, Spain, 2GE Healthcare, Waukesha, WI, United States, 3Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 4Center for Digital Health Innovation, UCSF, San Francisco, CA, United States, 5Department of Radiology, Clínica Cemtro, Madrid, Spain
The clinical assessment of the DL-based tool carried out by an experienced MSK radiologist, resulted in no disagreement in 92.8% of the segmented tissues and agreement in the detection of lesions in 75.94% of them. The shown results present a step forward into structured MSK imaging reports.
Figure 4. Segmentation
output fused over CUBE
Figure 1. Output.csv and
visual representation in the pdf file
