Scale-aware Auto-context-guided Fetal US Segmentation with Structured Random Forests
Accurate measurement of fetal biometrics in ultrasound at different trimesters is essential in assisting clinicians to conduct pregnancy diagnosis. However, the accuracy of manual segmentation for measurement is highly user-dependent. Here, we design a general framework for automatically segmenting...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Compuscript Ltd
2020-12-01
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| Series: | BIO Integration |
| Subjects: | |
| Online Access: | https://www.ingentaconnect.com/content/cscript/bioi/2020/00000001/00000003/art00004 |