公开(公告)号：US20210059627A1

公开(公告)日：2021-03-04

申请号：US16680783

申请日：2019-11-12

Applicant: Lunit Inc. ,  SEOUL NATIONAL UNIVERSITY HOSPITAL

Inventor： Min Chul KIM ,  Chang Min PARK ,  Eui Jin HWANG

IPC: A61B6/00 ,  G06T7/00 ,  G06T7/70 ,  G06T7/11 ,  G06K9/62 ,  A61M1/04 ,  A61B34/10 ,  G16H50/20 ,  G06N20/00

Abstract: Some embodiments of the present disclosure provide a pneumothorax detection method performed by a computing device. The method may comprise obtaining predicted pneumothorax information, predicted tube information, and a predicted spinal baseline with respect to an input image from a trained pneumothorax prediction model; determining at least one pneumothorax representative position for the predicted pneumothorax information and at least one tube representative position for the predicted tube information, in a prediction image in which the predicted pneumothorax information and the predicted tube information are displayed; dividing the prediction image into a first region and a second region by the predicted spinal baseline; and determining a region in which the at least one pneumothorax representative position and the at least one tube representative position exist among the first region and the second region.

公开(公告)号：US20240282434A1

公开(公告)日：2024-08-22

申请号：US18650347

申请日：2024-04-30

Applicant: Lunit Inc. ,  SEOUL NATIONAL UNIVERSITY HOSPITAL

Inventor： Min Chul KIM ,  Chang Min PARK ,  Eui Jin HWANG

IPC: G16H30/40 ,  A61B6/00 ,  A61B6/46 ,  A61B34/10 ,  A61M1/04 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/70 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H50/20

CPC classification number: G16H30/40 ,  A61B6/5217 ,  A61B34/10 ,  A61M1/04 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/70 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H50/20 ,  A61B6/461 ,  A61B2034/107 ,  G06T2207/20081 ,  G06T2207/30012 ,  G06T2207/30061 ,  G06V2201/03

Abstract: Some embodiments of the present disclosure provide a pneumothorax detection method performed by a computing device. The method may comprise obtaining predicted pneumothorax information, predicted tube information, and a predicted spinal baseline with respect to an input image from a trained pneumothorax prediction model; determining at least one pneumothorax representative position for the predicted pneumothorax information and at least one tube representative position for the predicted tube information, in a prediction image in which the predicted pneumothorax information and the predicted tube information are displayed; dividing the prediction image into a first region and a second region by the predicted spinal baseline; and determining a region in which the at least one pneumothorax representative position and the at least one tube representative position exist among the first region and the second region.