Dice similarity coefficient

1. Dice similarity coefficient predicts amyotrophic lateral sclerosis in humans (predicted at age 80 from longitudinal similarity assessments in AFM C9+) (27.9% (95% CI 13.2-40.1%)).

   “At age 80, we predicted 27.9% (95% confidence interval, 13.2-40.1%) of AFM C9+ and no AFM C9- would reach the same DSC as phenoconverters.”

   Humanspredicted at age 80 from longitudinal similarity assessments in AFM C9+

   Longitudinal Magnetic Resonance Imaging in Asymptomatic C9orf72 Mutation Carriers Distinguishes Phenoconverters to Amyotrophic Lateral Sclerosis or Amyotrophic Lateral Sclerosis With Frontotemporal Dementia

   Annals of neurology·Nov 2, 2024

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1. Deep learning-based segmentation is associated with Dice similarity coefficient in silico (0.927 ± 0.019).

   “The Dice similarity coefficient was used to compare the manual segmentation with automated segmentation; an average Dice score of 0.927 ± 0.019 was obtained, with no critical outliers.”

   In silicon = 520

   Development and validation of a reliable method for automated measurements of psoas muscle volume in CT scans using deep learning-based segmentation: a cross-sectional study

   BMJ open·May 22, 2024

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