US 11,948,303 B2
Method and apparatus for objective assessment of gastrointestinal conditions based on images captured in the GI tract
Kang-Huai Wang, Saratoga, CA (US); Chenyu Wu, Sunnyvale, CA (US); and Gordon C. Wilson, San Francisco, CA (US)
Assigned to CapsoVision Inc., Saratoga, CA (US)
Filed by CAPSOVISION, Inc., Saratoga, CA (US)
Filed on Jun. 19, 2021, as Appl. No. 17/352,291.
Claims priority of provisional application 63/154,144, filed on Feb. 26, 2021.
Prior Publication US 2022/0277450 A1, Sep. 1, 2022
Int. Cl. G06T 7/00 (2017.01); A61B 1/04 (2006.01); G06N 3/04 (2023.01); G06T 3/40 (2006.01); G06T 5/50 (2006.01); G06T 7/55 (2017.01); G06T 7/62 (2017.01)
CPC G06T 7/0014 (2013.01) [A61B 1/041 (2013.01); G06N 3/04 (2013.01); G06T 3/40 (2013.01); G06T 5/50 (2013.01); G06T 7/55 (2017.01); G06T 7/62 (2017.01); G06T 2207/10068 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30092 (2013.01)] 26 Claims
OG exemplary drawing
 
1. A method of objective assessment of images captured from a human gastrointestinal (GI) tract, the method comprising:
receiving one or more images captured using an endoscope when the endoscope is inside the human gastrointestinal (GI) tract;
detecting whether any specific target object is in said one or more images; and
when one or more specific target objects in said one or more images are detected:
determining area sizes of said one or more specific target objects in said one or more images;
deriving an objective assessment score based on the area sizes of said one or more specific target objects in said one or more images;
wherein said detecting said one or more specific target objects is performed using an artificial intelligence process; and
wherein a travelled distance by the endoscope in the human GI tract is used to decide a normalization factor on the area sizes or a sum of the area sizes of said one or more specific target objects in said one or more images.