Siemens Healthcare GmbH;The Johns Hopkins University
发明人:
Shaohua Kevin Zhou,David Liu,Berthold Kiefer,Atilla Peter Kiraly,Benjamin L. Odry,Robert Grimm,LI PAN,IHAB KAMEL
申请号：
US15261124
公开号：
US20180075597A1
申请日:
2016.09.09
申请国别(地区):
US
年份:
2018
代理人:
摘要：
Tissue is characterized using machine-learnt classification. The prognosis, diagnosis or evidence in the form of a similar case is found by machine-learnt classification from features extracted from frames of medical scan data. The texture features for tissue characterization may be learned using deep learning. Using the features, therapy response is predicted from magnetic resonance functional measures before and after treatment in one example. Using the machine-learnt classification, the number of measures after treatment may be reduced as compared to RECIST for predicting the outcome of the treatment, allowing earlier termination or alteration of the therapy.
