Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor
We present a general framework for automatic segmentation of fetal brain structures in ultrasound images inspired by recent advances in machine learning. The approach is based on a region descriptor that characterizes the shape and local intensity context of different neurological structures without...
Κύριοι συγγραφείς: | Huang, R, Namburete, A, Noble, J |
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Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
Society of Photo-optical Instrumentation Engineers
2018
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Παρόμοια τεκμήρια
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Data for paper 'Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor'
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BEAN: brain extraction and alignment network for 3D fetal neurosonography
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VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography
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BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography
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