公开(公告)号：EP3263040B1

公开(公告)日：2024-09-25

申请号：EP15883355.8

申请日：2015-11-27

IPC分类号： A61B6/03 ,  A61B8/14 ,  G06T7/30 ,  A61B8/08 ,  A61B8/00 ,  A61B5/055 ,  G06T7/33

CPC分类号： A61B6/03 ,  A61B8/14 ,  A61B8/0883 ,  A61B8/4416 ,  G06T2207/1007220130101 ,  G06T2207/1008820130101 ,  G06T2207/3005620130101 ,  G06T2207/3010120130101 ,  G06T7/33 ,  A61B6/032 ,  A61B8/0891 ,  A61B8/4254 ,  A61B8/463 ,  A61B8/5207 ,  A61B8/5261

公开(公告)号：EP4428813A1

公开(公告)日：2024-09-11

申请号：EP24158336.8

申请日：2024-02-19

申请人： SCREEN Holdings Co., Ltd.

发明人： HASEBE, Ryo

IPC分类号： G06T7/00 ,  G06T7/11 ,  G06T7/62

CPC分类号： G06T2207/1010120130101 ,  G06T2207/3002420130101 ,  G06T2207/2005620130101 ,  G06T2207/3005620130101 ,  G06T7/62 ,  G06T2207/2007620130101 ,  G06T7/11 ,  G06T7/0012

摘要： First, a biological sample is imaged, and a photographic image in which intensity values are distributed is acquired. After that, a localization region corresponding to an unusual part is extracted from the photographic image. At that time, a region of which intensity value satisfies a predetermined requirement in the photographic image is extracted as the localization region. Alternatively, the photographic image is input to a trained model created in advance, and a localization region output from the trained model is obtained. In this manner, the localization region corresponding to the unusual part can be extracted from the photographic image of the biological sample. This enables noninvasive observation of the unusual part of the biological sample without processing a cell by staining or the like.

公开(公告)号：EP3644282B1

公开(公告)日：2024-07-10

申请号：EP18841343.9

申请日：2018-08-02

IPC分类号： G06T11/00 ,  A61B5/03 ,  A61B5/055 ,  A61B8/00 ,  A61B6/00

CPC分类号： A61B5/03 ,  A61B5/055 ,  A61B8/00 ,  G06T5/50 ,  A61B6/481 ,  A61B6/482 ,  G06T2207/1008120130101 ,  G06T2207/2010420130101 ,  G06T2207/3005620130101 ,  G06T2207/2021620130101

公开(公告)号：EP4390842A1

公开(公告)日：2024-06-26

申请号：EP22215997.2

申请日：2022-12-22

申请人： Siemens Healthineers AG

发明人： Jendryka, Julian ,  Dr. Katzmann, Alexander ,  Thamm, Florian ,  Dr. Sühling, Michael

IPC分类号： G06T7/11

CPC分类号： G06T7/11 ,  G06T2207/1007220130101 ,  G06T2207/2008120130101 ,  G06T2207/2008420130101 ,  G06T2207/3004820130101 ,  G06T2207/3005620130101 ,  G06T2207/2009220130101

摘要： The disclosure relates to an interactive segmentation process based on a neural network algorithm. Corrective or ascertaining user input is encoded and input to the neural network algorithm.

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

CPC分类号： 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