REGULARISED FEATURE-BASED FUZZY CONNECTEDNESS SEGMENTATION OF ULTRASOUND IMAGES FOR FETAL SOFT TISSUE QUANTIFICATION ACROSS GESTATION
Ultrasound (US) image segmentation can be a challenging task due to signal dropouts, missing boundaries, and presence of speckle. Typically, purely intensity-based methods do not lead to a good segmentation of the structures of interest. Prior work has shown that local phase and feature asymmetry, d...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
2012
|