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METHOD FOR ASSISTING CORNEAL SEVERITY IDENTIFICATION USING UNSUPERVISED MACHINE LEARNING
专利权人:
Takahiko Hayashi;JICHI MEDICAL UNIVERSITY
发明人:
Siamak Yousefi,Hidenori Takahashi,Takahiko Hayashi
申请号:
US16269221
公开号:
US20200245865A1
申请日:
2019.02.06
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A method for assisting corneal severity identification, the method comprising obtaining a corneal configuration data set of a cornea to be examined by a tomography such as an optical coherence tomography; visualizing the corneal configuration data set of the cornea to be examined along with a number of pre-existing corneal configuration data sets of disorder corneas, disorder-suspect corneas and normal corneas obtained by the tomography using t-distributed Stochastic Neighbor Embedding in a two or three dimensional map, and judging corneal severity from the map.
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http://www.ckcest.cn/home/

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