06Oct 2022
Automatic identification and segmentation of slice of minimal hiatal dimensions in transperineal ultrasound volumes

Automatic identification and segmentation of slice of minimal hiatal dimensions in transperineal ultrasound volumes

To develop and validate a tool for automatic selection of the slice of minimal hiatal dimensions (SMHD) and segmentation of the urogenital hiatus (UH) in transperineal ultrasound (TPUS) volumes. The deep‐learning algorithms allowed reliable automatic selection of the SMHD and UH segmentation in TPUS volumes of women with symptomatic POP. These algorithms can be implemented in the software of TPUS machines, thus reducing clinical analysis time and simplifying the examination of TPUS data for research and clinical purposes.

  • #gynaecology - ivf

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