James Hayashi,Ravi Starzl,Hugo Angulo,Abhishek Kar,Ramesh Oswal,Diego Penafiel,Weidong Yaun
申请号：
US16462360
公开号：
US20190313895A1
申请日:
2017.11.21
申请国别(地区):
US
年份:
2019
代理人:
摘要：
Machine learning algorithms are applied to OCT scan image data of a patient's retina to assess various eye diseases of the patient, such as ARMD, glaucoma, and diabetic retinopathy. The classification modules for each tested-for disease or condition preferably comprises an ensemble of machine learning algorithms, preferably including both deep learning and traditional machine learning (non-deep learning) algorithms. The results of the analysis can be transmitted back to the facility of the caregiver that used the OCT scanner to scan the patient's retina while the patient is still present at the caregiver's facility for an appointment.
