Anthony Thomas Stavros,Reni S. Butler,Philip T. Lavin,Jason Zalev,Thomas G. Miller
申请号：
US16022138
公开号：
US20180322630A1
申请日:
2018.06.28
申请国别(地区):
US
年份:
2018
代理人:
摘要：
The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operators grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.
