公开(公告)号：EP4285375A1

公开(公告)日：2023-12-06

申请号：EP22704884.0

申请日：2022-01-28

申请人： Koninklijke Philips N.V.

发明人： LIU, Saifeng ,  WANG, Xin ,  SCHWAB, Evan ,  RUBIN, Jonathan ,  DALAL, Sandeep, Madhukar ,  RUBENS, Eran

IPC分类号： G16H15/00 ,  G16H30/00

公开(公告)号：EP3871234A1

公开(公告)日：2021-09-01

申请号：EP19786637.9

申请日：2019-10-18

申请人： Koninklijke Philips N.V.

发明人： SAALBACH, Axel ,  BROSCH, Tom ,  HARDER, Tim, Philipp ,  DESHPANDE, Hrishikesh, Narayanrao ,  SCHWAB, Evan ,  BALTRUSCHAT, Ivo, Matteo ,  WIEMKER, Rafael

IPC分类号： G16H50/30 ,  G16H50/20 ,  G16H40/20 ,  A61B5/00 ,  G06T7/00 ,  A61B6/02 ,  A61B5/055 ,  G06N3/08

公开(公告)号：EP3734550A1

公开(公告)日：2020-11-04

申请号：EP19172166.1

申请日：2019-05-02

申请人： Koninklijke Philips N.V.

发明人： SCHWAB, Evan ,  EWALD, Arne

IPC分类号： G06T7/11

摘要： The invention provides for a medical imaging system (100, 400). comprising:
The execution of the machine executable instructions (112) causes a processor (104) to: receive (200) a set of input white matter fiber tracts (118); receive (202) the label from a discriminator neural network (116) in response to inputting the set of input white matter fiber tracts; generate (204) an optimized feature vector (122) using the set of input white matter fiber tracts and a generator neural network ((114) if the label indicates anatomically incorrect; receive (206) the set of generated white matter fiber tracts from the generator neural network in response to inputting the optimized feature vector; and construct (208) a false positive subset (126) of the set of input white matter fiber tracts using the generated set of white matter fiber tracts.

公开(公告)号：EP3651163A1

公开(公告)日：2020-05-13

申请号：EP18204589.8

申请日：2018-11-06

申请人： Koninklijke Philips N.V.

发明人： SAALBACH, Axel ,  BROSCH, Tom ,  HARDER, Tim Philipp ,  DESHPANDE, Hrishikesh Narayanrao ,  SCHWAB, Evan ,  BALTRUSCHAT, Ivo Matteo ,  WIEMKER, Rafael

IPC分类号： G16H50/30 ,  G16H50/20 ,  G16H40/20 ,  A61B5/00 ,  G06T7/00 ,  A61B6/02 ,  A61B5/055 ,  G06N3/08

摘要： This application proposes an improved medical imaging device enabling a timely communication of critical findings. The medical imaging device comprises an image acquisition unit, adapted to acquire image data of a subject to be imaged. The medical imaging device further comprises a local data processing device having an artificial-intelligence-module, AI-module, adapted to automatically detect a finding on basis of the acquired image data and to determine a priority status of the detected finding. Further, the medical imaging device comprises a notification module, adapted to provide, if the determined priority status reaches or exceeds a notification threshold, notification data containing the detected finding. The application further proposes a medical imaging system, a method of operating a medical imaging device, a computer program element and a computer-readable medium having stored the computer program element.