- Abstract:
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Current automated fetal ultrasound (US) analysis methods employ local descriptors and machine learning frameworks to identify salient image regions. This ‘bottom-up’ approach has limitations, as structures identified by local descriptors are not necessarily anatomically salient. In contrast, the human visual system employs a 'top-down' approach to image analysis guided primarily by image context and prior knowledge. This thesis attempts to bridge the gap between top-down and bottom-u...
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- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Copyright date:
- 2017
Thesis
Eye tracking to aid fetal ultrasound image analysis
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