US 11,934,491 B1
Systems and methods for image classification and stream of images segmentation
Alexandra Gilinsky, Haifa (IL); Avishai Adler, Haifa (IL); and Eshel Hason, Yoqneam Illit (IL)
Assigned to GIVEN IMAGING LTD., Yoqneam (IL)
Filed by Given Imaging LTD, Yoqneam (IL)
Filed on Apr. 30, 2021, as Appl. No. 17/244,988.
Claims priority of provisional application 63/018,878, filed on May 1, 2020.
Int. Cl. G06F 18/2415 (2023.01); A61B 1/00 (2006.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01)
CPC G06F 18/2415 (2023.01) [A61B 1/000096 (2022.02); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30028 (2013.01); G06T 2207/30092 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A system for image classification, the system comprising:
at least one processor; and
at least one memory including instructions stored thereon which, when executed by the at least one processor, cause the system to:
access a plurality of images of at least a portion of a gastrointestinal tract (GIT) captured by a capsule endoscopy device;
for each image of the plurality of images:
provide a classification score for each segment of a plurality of consecutive segments of the GIT by at least one deep learning neural network, and
provide 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; and
determine 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.