Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks

•A fully automatic segment method for clinical ultrasound kidney images.•End-to-end learning of boundary detection and pixelwise classification networks.•Achieved significantly better performance than pixelwise classification networks.•Data-augment improved the segmentation performance. It remains c...

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Veröffentlicht in:	Medical image analysis Jg. 60; S. 101602
Hauptverfasser:	Yin, Shi, Peng, Qinmu, Li, Hongming, Zhang, Zhengqiang, You, Xinge, Fischer, Katherine, Furth, Susan L., Tasian, Gregory E., Fan, Yong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.02.2020 Elsevier BV
Schlagworte:	Aged, 80 and over Artificial neural networks Boundary detection Boundary distance regression Classification Datasets as Topic Deep Learning Feature extraction Female Humans Image classification Image processing Image segmentation Kidney Diseases - diagnostic imaging Kidneys Machine learning Male Neural networks Neural Networks, Computer Pattern Recognition, Automated Pixels Pixelwise classification Regression Ultrasonic imaging Ultrasonography - methods Ultrasound Ultrasound images Boundary detection Ultrasound images Pixelwise classification Boundary distance regression
ISSN:	1361-8415, 1361-8423, 1361-8423
Online-Zugang:	Volltext
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