Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor

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...

書誌詳細
主要な著者:	Huang, R, Namburete, A, Noble, J
フォーマット:	Journal article
言語:	English
出版事項:	Society of Photo-optical Instrumentation Engineers 2018

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