07. February 2022
Congratulations to our Team member Nader. Magnetic resonance elastography combined with Dense U-net segmentation allows tabulation of quantitative imaging markers without manual analysis and independent of other MRI sequences and can thus contribute to PCa detection and classification.
Quotes form abstract:
“Using trained network-based image segmentation, we investigated if Magnetic resonance elastography data is suffice to extract anatomical and viscoelastic information for automatic tabulation of zonal mechanical properties of the prostate.” “In conclusion, MRE combined with Dense U-net segmentation allows tabulation of quantitative imaging markers without manual analysis and independent of other MRI sequences and can thus contribute to PCa detection and classification.”

Read the whole article published in nature: https://www.nature.com/articles/s41598-022-05878-5