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Medical image segmentation and severity grading using neural network architectures with semi-supervised learning techniques
专利权人:
Ltd.;Inception Institute of Artifical Intelligence
发明人:
Yi Zhou,Xiaodong He,Lei Huang,Li Liu,Fan Zhu,Shanshan Cui,Ling Shao
申请号:
US16353800
公开号:
US10430946B1
申请日:
2019.03.14
申请国别(地区):
US
年份:
2019
代理人:
摘要:
This disclosure relates to improved techniques for performing computer vision functions on medical images, including object segmentation functions for identifying medical objects in the medical images and grading functions for determining severity labels for medical conditions exhibited in the medical images. The techniques described herein utilize a neural network architecture to perform these and other functions. The neural network architecture can be trained, at least in part, using semi-supervised learning techniques that enable the neural network architecture to accurately perform the object segmentation and grading functions despite limited availability of pixel-level annotation information.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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