US 11,748,883 B2
Colon polyp image processing method and apparatus, and system
Xinghui Fu, Shenzhen (CN); Zhongqian Sun, Shenzhen (CN); Hong Shang, Shenzhen (CN); Zijian Zhang, Shenzhen (CN); and Wei Yang, Shenzhen (CN)
Assigned to Tencent Technology (Shenzhen) Company Limited, Shenzhen (CN)
Filed by Tencent Technology (Shenzhen) Company Limited, Guangdong (CN)
Filed on Aug. 10, 2022, as Appl. No. 17/885,361.
Application 17/885,361 is a continuation of application No. 17/025,679, filed on Sep. 18, 2020, granted, now 11,468,563.
Application 17/025,679 is a continuation of application No. PCT/CN2019/112788, filed on Oct. 23, 2019.
Claims priority of application No. 201811287489.X (CN), filed on Oct. 31, 2018.
Prior Publication US 2022/0392068 A1, Dec. 8, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); G06T 7/73 (2017.01); G16H 30/40 (2018.01)
CPC G06T 7/0012 (2013.01) [G06T 7/73 (2017.01); G16H 30/40 (2018.01); G06T 2207/10024 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30032 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A colon polyp image processing method, comprising:
classifying a value of a blood vessel color feature in an endoscopic image by using an image classification model trained using a neural network algorithm to determine that the endoscopic image is a white light type picture or an endoscope narrow band imaging (NBI) type picture;
detecting, by processing circuitry of a colon polyp image processing apparatus, a polyp in the endoscopic image by using a polyp positioning model based on the determination that the endoscopic image is the white light type picture or the NBI type picture; and
performing a polyp type classification detection on the detected polyp in the endoscopic image by using a polyp property identification model, and outputting an identification result.