公开(公告)号：US20230148834A1

公开(公告)日：2023-05-18

申请号：US17916826

申请日：2021-04-27

申请人： Given Imaging LTD.

发明人： Dorit Baras ,  Eyal Dekel ,  Eva Niv

IPC分类号： A61B1/00 ,  G06V10/82 ,  G06V10/764 ,  G06T7/00 ,  A61B1/04

CPC分类号： A61B1/000094 ,  G06V10/82 ,  G06V10/764 ,  G06T7/0012 ,  G06T7/97 ,  A61B1/041 ,  A61B1/000096 ,  A61B1/000095 ,  G06T2207/30092 ,  G06T2207/10068 ,  G06T2207/20084 ,  G06V2201/031 ,  G06T2207/30028

摘要： In accordance with aspects of the present disclosure, a system includes at least one processor and at least one memory storing instructions which, when executed by the processor(s), cause the system to access images of a portion of a gastrointestinal tract (GIT) captured by a capsule endoscopy device; for each of the images, provide, by a deep learning neural network, scores for classifying the image to each of consecutive segments of the GIT; classify each image of a subset of the images, whose scores satisfy a confidence criterion, to one of the consecutive segments of the GIT; refine the classifications of the images in the subset by processing a signal over time corresponding to the classifications of the images in the subset; and estimate, among the images in the subset, a transition (1010) between two adjacent segments of the GIT based on the refined classifications of the images in the subset.

公开(公告)号：US20230397794A1

公开(公告)日：2023-12-14

申请号：US18206868

申请日：2023-06-07

申请人： Given Imaging LTD

发明人： Dorit Baras ,  Tomer Goldstein ,  Gal Shenker

IPC分类号： A61B1/00 ,  G06T7/00 ,  A61B1/04 ,  A61B1/31

CPC分类号： A61B1/000096 ,  G06T7/0014 ,  A61B1/041 ,  A61B1/31 ,  G06T2207/30092 ,  G06T2207/20072 ,  G06T2200/24 ,  G06T2207/20084 ,  G06T2207/10068

摘要： A system includes at least one processor, and at least one memory storing instructions. The instructions, when executed by the processor(s), cause the system to: access a in-vivo images captured by a capsule endoscope where the in-vivo images are designated as containing a pathology indicator; form a connected graph component based on the in-vivo images where the connected graph component includes at least two images of the in-vivo images connected based on at least one indication that the at least two images contain the same occurrence of the pathology indicator; process the connected graph component with a machine learning model to provide a score indicative of whether the at least two images contain the same occurrence of the pathology indicator; and associate the score with the at least two images for presentation to a reviewer of the at least two images.

公开(公告)号：US20230298306A1

公开(公告)日：2023-09-21

申请号：US18021242

申请日：2021-09-01

申请人： Given Imaging LTD.

发明人： Dorit Baras ,  Eyal Dekel

IPC分类号： G06V10/74 ,  G06T7/00

CPC分类号： G06V10/74 ,  G06T7/0012 ,  G06T2207/20084 ,  G06V2201/032

摘要： The present disclosure relates to systems and methods for determining whether two images of a gastrointestinal tract (GIT) contain the same occurrence of an event indicator or different occurrences of an event indicator. An exemplary processing system includes at least one processor and at least one memory storing instructions. When the instruction are executed by the processor(s), they cause the processing system to access a first image and a second image of a portion of a GIT, where the first image and the second image contain at least one occurrence of an event indicator, and to classify the first image and the second image by a classification system configured to provide an indication of whether the first image and second image contain a same occurrence of the event indicator or contain different occurrences of the event indicator.