公开(公告)号：EP4376701A1

公开(公告)日：2024-06-05

申请号：EP22819040.1

申请日：2022-06-10

Applicant: Emagix, Inc.

Inventor： MUNN, Colyn ,  KAMINTSKY, Lyn ,  FRIEDMAN, Alon ,  KUKURIN, James ,  ABBASNEJAD, Amirreza

IPC: A61B3/12 ,  G06V10/40 ,  G06V10/764

CPC classification number: A61B3/12 ,  G06V40/193 ,  G06V2201/0320220101 ,  G06V10/761 ,  G06V40/197 ,  G06V10/26 ,  G06T7/0012 ,  G06T7/33 ,  G06T2207/1001620130101 ,  G06T2207/1006420130101 ,  G06T2207/3010120130101 ,  G06T2207/3004120130101 ,  G06T7/11 ,  G06T7/136 ,  G06T7/155

公开(公告)号：EP4374344A1

公开(公告)日：2024-05-29

申请号：EP22754033.3

申请日：2022-07-18

Applicant: Bayer Aktiengesellschaft

Inventor： SANROMA GÜELL, Gerard ,  BLANK, Markus ,  KLEMENS, Mark Alexander

IPC: G06V30/19

CPC classification number: G06V2201/0320220101 ,  G06F18/24133

公开(公告)号：EP4374333A1

公开(公告)日：2024-05-29

申请号：EP22737688.6

申请日：2022-06-02

Applicant: PAIGE.AI, Inc.

Inventor： KANAN, Christopher ,  GRADY, Leo

IPC: G06V10/82

CPC classification number: G06V2201/0320220101 ,  G06V10/82

公开(公告)号：EP4372695A1

公开(公告)日：2024-05-22

申请号：EP22212190.7

申请日：2022-12-08

Applicant: Koninklijke Philips N.V.

Inventor： WEHLE, Simon ,  GOOßEN, Andre ,  LOSSAU, Tanja ,  GESSERT, Nils Thorben ,  PETERS, Jochen ,  WAECHTER-STEHLE, Irina ,  WEBER, Frank Michael ,  PRATER, David

IPC: G06V10/25 ,  G06V10/44 ,  G06V10/46 ,  G06V10/772 ,  G06V10/776 ,  G06V10/82 ,  G06F18/2132 ,  G06F18/21 ,  G06F18/28 ,  G06T7/00

CPC classification number: G06V10/462 ,  G06V10/454 ,  G06V10/776 ,  G06V10/772 ,  G06V10/25 ,  G06V10/82 ,  G06F18/217 ,  G06F18/2132 ,  G06F18/28 ,  G06N3/0464 ,  G06V2201/0320220101 ,  G06T7/0012 ,  G06N3/084 ,  G06N3/048

Abstract: A method and system for providing saliency maps for a deep learning model. The method comprises inputting an input image into the deep learning model trained to output a metric score, from a plurality of metric scores, for the input image. A supportive saliency map is generated for the input image, from the deep learning model, corresponding to a first range of the metric scores for the image, thereby providing one or more supportive regions of the image indicative of the first range of metric scores. A distractive saliency map is also generated for the image, from the deep learning model, corresponding to a second range of the metric scores for the image, thereby providing one or more distractive regions of the image indicative of the second range of metric scores.

公开(公告)号：EP3938999B1

公开(公告)日：2024-05-15

申请号：EP20707479.0

申请日：2020-03-09

IPC: G06T7/00 ,  G06T7/136 ,  G06V20/69 ,  G06F18/25 ,  G06V10/80

CPC classification number: G06T2207/1002420130101 ,  G06T2207/1005620130101 ,  G06T2207/1006420130101 ,  G06T2207/1010120130101 ,  G06T2207/2022120130101 ,  G06T2207/3002420130101 ,  G06T2207/3002820130101 ,  G06T2207/3005620130101 ,  G06T2207/3006120130101 ,  G06T2207/3001620130101 ,  G06T2207/3008120130101 ,  G06T2207/3008420130101 ,  G06T2207/3008820130101 ,  G06T2207/3009620130101 ,  G06T7/0012 ,  G06T7/136 ,  G06V20/695 ,  G06V20/698 ,  G06V2201/0320220101 ,  G06V10/803 ,  G06F18/251

公开(公告)号：EP3539477B1

公开(公告)日：2024-04-24

申请号：EP17868925.3

申请日：2017-08-24

IPC: A61B8/13 ,  A61B5/02 ,  A61B5/00 ,  A61B8/06

CPC classification number: A61B8/06 ,  A61B8/13 ,  A61B5/0095 ,  A61B5/7425 ,  A61B5/02007 ,  G06T7/0016 ,  G06T2207/1013220130101 ,  G06T2207/3010120130101 ,  A61B5/743 ,  A61B5/0073 ,  A61B5/0035 ,  A61B5/7257 ,  A61B2576/0020130101 ,  G01N29/2418 ,  G01N29/4409 ,  G01N2291/0247520130101 ,  G16H30/40 ,  G06V40/14 ,  G06V10/143 ,  G06V2201/0320220101 ,  G06V10/761 ,  G06F18/22

公开(公告)号：EP3391284B1

公开(公告)日：2024-04-17

申请号：EP16876771.3

申请日：2016-12-16

IPC: G06T7/00 ,  G06T7/62 ,  G06T7/68

CPC classification number: A61B6/032 ,  A61B6/501 ,  G06T2207/1008120130101 ,  G06T2207/2006120130101 ,  G06T2207/2008120130101 ,  G06T2207/2008420130101 ,  G06T2207/3001620130101 ,  G06T7/62 ,  G06T7/68 ,  G06T7/0012 ,  G06V10/454 ,  G06V2201/03120220101 ,  G06V2201/0320220101 ,  G06V10/82 ,  G06V10/764

公开(公告)号：EP4443315A1

公开(公告)日：2024-10-09

申请号：EP23167009.2

申请日：2023-04-06

Applicant: NeraCare GmbH

Inventor： Ackermann, Leonhard

IPC: G06F18/2413 ,  G06T7/00 ,  G06V10/44 ,  G06V10/764 ,  G06V20/69

CPC classification number: G06V10/454 ,  G06V20/698 ,  G06V10/764 ,  G06V2201/0320220101 ,  G06F18/2413 ,  G06T7/0012

Abstract: Disclosed is a medical image analysis method, comprising obtaining at least one histological image depicting a primary melanoma tumor comprised in a stained tissue sample of a patient. The method further comprises analyzing the obtained image with a convolutional neural network, trained using (a) histological images depicting melanoma tumors of a plurality of persons and (b) person-specific event information indicative of (i) the person having experienced a predefined event and the time of the predefined event or (ii) the person not having experienced the predefined event and a time of observation of the person, to obtain a prognostic score indicative of a risk for the patient to experience a relapse, a metastasis or death. A method for training a corresponding convolutional neural network, a computer program product and a processing system are also disclosed.

公开(公告)号：EP3875022B1

公开(公告)日：2024-10-02

申请号：EP19879182.4

申请日：2019-10-28

IPC: A61B1/045 ,  G06T7/00 ,  H04N7/18 ,  G06T11/60

CPC classification number: H04N7/18 ,  G06T7/00 ,  A61B1/045 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G06V10/141 ,  G06V10/143 ,  G06V10/454 ,  G06V10/25 ,  G06V10/60 ,  G06V10/56 ,  G06V2201/0320220101 ,  G06V10/82 ,  A61B1/000094 ,  G06V10/764

公开(公告)号：EP3719808B1

公开(公告)日：2024-09-11

申请号：EP19167391.2

申请日：2019-04-04

IPC: G16H50/20 ,  A61B3/12 ,  G06T7/00

CPC classification number: G16H50/20 ,  A61B3/12 ,  G06T7/0012 ,  G06T2207/3004120130101 ,  G06T2207/3010120130101 ,  A61B5/021 ,  A61B3/0025 ,  A61B2576/0220130101 ,  G06V40/193 ,  G06V2201/0320220101 ,  G06V10/82 ,  G06V10/764