公开(公告)号：US20240156337A1

公开(公告)日：2024-05-16

申请号：US18496253

申请日：2023-10-27

Applicant: Given Imaging LTD.

Inventor： Eyal Dekel ,  Alexandra Gilinsky

IPC: A61B1/04 ,  A61B1/00 ,  A61B5/00

CPC classification number: A61B1/041 ,  A61B1/000096 ,  A61B1/00016 ,  A61B5/4255

Abstract: A system for image inpainting of in-vivo images 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 an in-vivo image of a portion of a gastrointestinal tract where the in-vivo image includes image regions to be reconstructed, process the in-vivo image by a trained image inpainting deep learning model to provide a reconstructed in-vivo image, and provide the reconstructed in-vivo image to a device for viewing by a medical professional.

公开(公告)号：US11934491B1

公开(公告)日：2024-03-19

申请号：US17244988

申请日：2021-04-30

Applicant: Given Imaging LTD

Inventor： Alexandra Gilinsky ,  Avishai Adler ,  Eshel Hason

IPC: G06F18/2415 ,  A61B1/00 ,  G06N20/00 ,  G06T7/00

CPC classification number: G06F18/2415 ,  A61B1/000096 ,  G06N20/00 ,  G06T7/0012 ,  G06T2207/10068 ,  G06T2207/30028 ,  G06T2207/30092

Abstract: A method for image classification includes accessing a plurality of images of at least a portion of a gastrointestinal tract (GIT) captured by a capsule endoscopy device and for each image of the plurality of images: providing a classification score for each segment of a plurality of consecutive segments of the GIT by a deep learning neural network, and providing a classification probability for each segment of the plurality of consecutive segments of the GIT based on the classification scores by a classical machine learning classifier. The method further includes determining a classification for each image to one segment of the plurality of consecutive segments of the GIT based on processing a signal corresponding to the classification probabilities of the plurality of images.