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公开(公告)号：US11893659B2
公开(公告)日：2024-02-06
申请号：US17309275
申请日：2019-11-27
发明人： Tobias Rijken , Michael O'Neill , Andreas Heindl , Joseph Yearsley , Dimitrios Korkinof , Galvin Khara
CPC分类号： G06T11/003 , G06T7/0012 , G06T2207/30068
摘要： The present invention relates to a method and system that allows input mammography images to be converted between domains. More particularly, the present invention relates to converting mammography images from the image style common to one manufacturer of imaging equipment to the image style common to another manufacturer of imaging equipment. Aspects and/or embodiments seek to provide a method of converting input images from the format output by one imaging device into the format normally output by another imaging device. The imaging devices may differ in their manufacturer, model or configuration such that they produce different styles of image, even if presented with the same raw input data, due to the image processing used in the imaging device(s).
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公开(公告)号：US11410307B2
公开(公告)日：2022-08-09
申请号：US17251354
申请日：2019-06-14
发明人： Tobias Rijken , Michael O'Neill , Andreas Heindl , Joseph Elliot Yearsley , Dimitrios Korkinof , Galvin Khara , Peter Kecskemethy , Edith Karpati
IPC分类号： G06T7/00 , G16H30/40 , A61B6/00 , G06K9/46 , G06N3/08 , G16H40/67 , G06K9/62 , G06T7/11 , G06T7/70 , G16H30/20 , G16H50/20 , G06T7/143 , G06V10/764 , G06V10/774 , G06V30/19
摘要： The present invention relates to a method and system that automatically determines malignancy in mammograms in parallel with a human operator. More particularly, the present invention relates to providing a reliable automated malignancy determination in parallel to a human operator to reduce the need for two human operators in a mammography analysis workflow.
Aspects and/or embodiments seek to provide a method of automatically assessing mammography data in parallel with a human operator. Aspects and/or embodiments also seek to address the problems relating to providing a substantially reliable second reader to allow a single operator to analyse and diagnose mammography data.-
公开(公告)号：US11488306B2
公开(公告)日：2022-11-01
申请号：US17251417
申请日：2019-06-14
发明人： Peter Kecskemethy , Tobias Rijken , Edith Karpati , Michael O'Neill , Andreas Heindl , Joseph Elliot Yearsley , Dimitrios Korkinof , Galvin Khara
IPC分类号： G06T7/00 , G06T7/11 , G06T7/70 , G16H30/40 , A61B6/00 , G06N3/08 , G16H30/20 , G16H50/20 , G06T7/143 , G16H40/67 , G06V10/764 , G06V10/774 , G06V30/19 , G06K9/62
摘要： The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for indicating whether additional medical tests are required after analysing an initial medical screening, in substantially real-time.
Aspects and/or embodiments seek to provide a method and system for recommending additional medical tests, in substantially real-time, based on analysing an initial medical scan, with the use of deep learning.-
公开(公告)号：US11455723B2
公开(公告)日：2022-09-27
申请号：US17251398
申请日：2019-06-14
发明人： Peter Kecskemethy , Tobias Rijken , Edith Karpati , Michael O'Neill , Andreas Heindl , Joseph Elliot Yearsley , Dimitrios Korkinof , Galvin Khara
IPC分类号： G06T7/00 , G06T7/11 , G06T7/70 , G16H30/40 , A61B6/00 , G06K9/62 , G06N3/08 , G16H30/20 , G16H50/20 , G06T7/143 , G16H40/67 , G06V10/764 , G06V10/774 , G06V30/19
摘要： The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for suggesting whether to obtain a second review after a first user has performed a manual review/analysis of a set of medical images from an initial medical screening.
Aspects and/or embodiments seek to provide a method and system for suggesting that a second radiologist reviews one or more cases/sets of medical images in response to a first radiologist's review of the case of medical images, based on the use of computer-aided analysis (for example using deep learning) on each case/set of medical images and the first radiologist's review.-
公开(公告)号：US20210313043A1
公开(公告)日：2021-10-07
申请号：US17251398
申请日：2019-06-14
发明人： Peter Kecskemethy , Tobias Rijken , Edith Karpati , Michael O'Neill , Andreas Heindl , Joseph Elliot Yearsley , Dimitrios Korkinof , Galvin Khara
摘要： The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for suggesting whether to obtain a second review after a first user has performed a manual review/analysis of a set of medical images from an initial medical screening.
Aspects and/or embodiments seek to provide a method and system for suggesting that a second radiologist reviews one or more cases/sets of medical images in response to a first radiologist's review of the case of medical images, based on the use of computer-aided analysis (for example using deep learning) on each case/set of medical images and the first radiologist's review.-
公开(公告)号：US20210312618A1
公开(公告)日：2021-10-07
申请号：US17251417
申请日：2019-06-14
发明人： Peter Kecskemethy , Tobias Rijken , Edith Karpati , Michael O'Neill , Andreas Heindl , Joseph Elliot Yearsley , Dimitrios Korkinof , Galvin Khara
摘要： The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for indicating whether additional medical tests are required after analysing an initial medical screening, in substantially real-time.
Aspects and/or embodiments seek to provide a method and system for recommending additional medical tests, in substantially real-time, based on analysing an initial medical scan, with the use of deep learning.-
公开(公告)号：US20210248744A1
公开(公告)日：2021-08-12
申请号：US17251354
申请日：2019-06-14
发明人： Tobias Rijken , Michael O'Neill , Andreas Heindl , Joseph Elliot Yearsley , Dimitrios Korkinof , Galvin Khara , Peter Kecskemethy , Edith Karpati
摘要： The present invention relates to a method and system that automatically determines malignancy in mammograms in parallel with a human operator. More particularly, the present invention relates to providing a reliable automated malignancy determination in parallel to a human operator to reduce the need for two human operators in a mammography analysis workflow.
Aspects and/or embodiments seek to provide a method of automatically assessing mammography data in parallel with a human operator. Aspects and/or embodiments also seek to address the problems relating to providing a substantially reliable second reader to allow a single operator to analyse and diagnose mammography data.
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