公开(公告)号：US20200279643A1

公开(公告)日：2020-09-03

申请号：US16514035

申请日：2019-07-17

Applicant: Boston Scientific Scimed Inc.

Inventor： Kyle H. Srivastava ,  Dominic J. Allocco ,  Paul R. Holleran

IPC: G16H40/40 ,  G16H30/40 ,  G06T7/62 ,  G06K9/62 ,  G06N20/00

Abstract: Embodiments of the present disclosure relate to systems and methods for determining the size of a medical device to implant in a patient using deep learning techniques. In at least one embodiment, a method comprises receiving a plurality of images, each of the plurality of images including a representation of a portion of a patient's anatomy in which the medical device is to be implanted. The method further comprises extracting a centerline of the representation of the patient's anatomy from the plurality of images and extracting planes orthogonal to the centerline. In addition, the method comprises identifying, using a segmentation model that segments the extracted planes, an implantation site. And, the method comprises determining, using a medical device size classification model that classifies the implantation site, a size of the medical device to be implanted at the implantation site.