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SYSTEMS AND METHODS FOR AUTOMATED CLASSIFICATION OF ABNORMALITIES IN OPTICAL COHERENCE TOMOGRAPHY IMAGES OF THE EYE
专利权人:
发明人:
SriniVas R. SADDA,Paul F. STETSON
申请号:
US14961651
公开号:
US20160183783A1
申请日:
2015.12.07
申请国别(地区):
US
年份:
2016
代理人:
摘要:
Systems and methods for classifying abnormalities within optical coherence tomography images of the eye are presented. One embodiment of the present invention is the classification of pigment epithelial detachments (PEDs) based on characteristics of their internal reflectivity, size and shape. The classification can be based on selected subsets of the data located within or surrounding the abnormalities. Training data can be used to generate the classification scheme and the classification can be weighted to highlight specific classes of particular clinical interest.
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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