Kevin Lyman,Devon Bernard,Li Yao,Ben Covington,Diogo Almeida,Brian Basham,Jeremy Howard,Anthony Upton,John Zedlewski
申请号：
US15690786
公开号：
US20180338741A1
申请日:
2017.08.30
申请国别(地区):
US
年份:
2018
代理人:
摘要：
A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.
