Zhongshan Ophthalmic Center of Sun Yat-sen University
发明人:
Haotian LIN,Xiaohang WU,Weiyi LAI
申请号：
US16535760
公开号：
US20200294225A1
申请日:
2019.08.08
申请国别(地区):
US
年份:
2020
代理人:
摘要：
The invention relates to an artificial intelligence cataract analysis system, including a pattern recognition module for recognizing a photo mode of an input eye image, wherein the photo mode is divided according to the slit width of the illuminating slit during photographing of the eye image and/or whether a mydriatic treatment is carried out； a preliminary analysis module used for selecting a corresponding deep learning model for eye different photo modes, analyzing the characteristics of lens in the eye image by using a deep learning model, and further performing classification in combination with cause and severity degree of a disease. The invention can perform cataract intelligent analysis on eye images with different photo modes by using deep learning models, so that the analysis accuracy is improved.
