Young Ho Oh

US Patent:

20230047100, Feb 16, 2023

Filed:

Jan 29, 2021

Appl. No.:

17/797293

Inventors:

- South San Francisco CA, US
- Little Falls NJ, US
Andreas THALHAMMER - Basel, CH
Marco PRUNOTTO - South San Francisco CA, US
Young Suk OH - South San Francisco CA, US

International Classification:

G06T 7/00
A61B 1/31
A61B 1/00

Abstract:

The application relates to devices and methods for analysing a colonoscopy video or a portion thereof, and for assessing the severity of ulcerative colitis in a subject by analysing a colonoscopy video obtained from the subject. Analysing a colonoscopy video comprises using a first deep neural network classifier to classify image data from the subject colonoscopy video or portion thereof into at least a first severity class (more severe endoscopic lesions) and a second severity class (less severe endoscopic lesions), wherein the first deep neural network has been trained at least in part in a weakly supervised manner using training image data from a plurality of training colonoscopy videos, the training image data comprising multiple sets of consecutive frames from the plurality of training colonoscopy videos, wherein frames in a set have the same severity class label. Devices and methods for providing a tool for analysing colonoscopy videos are also described.