Juan WANG,Bin XSA,Yujing BAI,Xiaoxin LI,Zhigang HU,Yu ZHAO
申请号：
US16609213
公开号：
US20200085290A1
申请日:
2017.08.04
申请国别(地区):
US
年份:
2020
代理人:
摘要：
The present disclosure provides an artificial neural network system for identifying a lesion in a retinal fundus image that comprises a pre-processing module configured to separately pre-process a target retinal fundus image and a reference retinal fundus image taken from a same person； a first neural network (12) configured to generate a first advanced feature set from the target retinal fundus image； a second neural network (22) configured to generate a second advanced feature set from the reference retinal fundus image； a feature combination module (13) configured to combine the first advanced feature set and the second advanced feature set to form a feature combination set； and a third neural network (14) configured to generate, according to the feature combination set, a diagnosis result. By using a target retinal fundus image and a reference retinal fundus image as independent input information, the artificial neural network may simulate a doctor, determining lesions on the target retinal fundus image using other retinal fundus images from the same person as a reference, thereby enhancing the diagnosis accuracy.
