Kevin Lyman,Li Yao,Eric C. Poblenz,Jordan Prosky,Ben Covington,Anthony Upton
申请号：
US16365772
公开号：
US20200160971A1
申请日:
2019.03.27
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A multi-model medical scan analysis system is operable to generate a plurality of training sets from a plurality of medical scans. Each of a set of sub-models can be generated by performing a training step on a corresponding one of the plurality of training sets. A subset of the set of sub-models is selected for a new medical scan. A set of abnormality data is generated by applying a subset of a set of inference functions on the new medical scan, where the subset of the set of inference functions utilize the subset of the set of sub-models. Final abnormality data is generated by performing a final inference function on the set of abnormality data. The final abnormality data can be to a client device for display via a display device.
