公开(公告)号：US20220392616A1

公开(公告)日：2022-12-08

申请号：US17342280

申请日：2021-06-08

申请人： GE Precision Healthcare LLC

发明人： Soumya Ghose ,  Jhimli Mitra ,  Peter M Edic ,  Prem Venugopal ,  Jed Douglas Pack

IPC分类号： G16H30/40 ,  G06T7/10 ,  G06N3/08 ,  G06N3/04

摘要： Systems and techniques that facilitate hybrid unsupervised and supervised image segmentation are provided. In various embodiments, a system can access a computed tomography (CT) image depicting an anatomical structure. In various aspects, the system can generate, via an unsupervised modeling technique, at least one class probability mask of the anatomical structure based on the CT image. In various instances, the system can generate, via a deep-learning model, an image segmentation based on the CT image and based on the at least one class probability mask.

公开(公告)号：US11948677B2

公开(公告)日：2024-04-02

申请号：US17342280

申请日：2021-06-08

申请人： GE Precision Healthcare LLC

发明人： Soumya Ghose ,  Jhimli Mitra ,  Peter M Edic ,  Prem Venugopal ,  Jed Douglas Pack

IPC分类号： G06T7/00 ,  G06N3/045 ,  G06N3/088 ,  G06T7/10 ,  G16H30/40

CPC分类号： G16H30/40 ,  G06N3/045 ,  G06N3/088 ,  G06T7/10 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30101

摘要： Systems and techniques that facilitate hybrid unsupervised and supervised image segmentation are provided. In various embodiments, a system can access a computed tomography (CT) image depicting an anatomical structure. In various aspects, the system can generate, via an unsupervised modeling technique, at least one class probability mask of the anatomical structure based on the CT image. In various instances, the system can generate, via a deep-learning model, an image segmentation based on the CT image and based on the at least one class probability mask.