US 11,941,807 B2
Artificial intelligence-based medical image processing method and medical device, and storage medium
Fubo Zhang, Shenzhen (CN); Dong Wei, Shenzhen (CN); Kai Ma, Shenzhen (CN); and Yefeng Zheng, Shenzhen (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by Tencent Technology (Shenzhen) Company Limited, Shenzhen (CN)
Filed on Oct. 15, 2021, as Appl. No. 17/503,160.
Application 17/503,160 is a continuation of application No. PCT/CN2020/105461, filed on Jul. 29, 2020.
Claims priority of application No. 201910752632.6 (CN), filed on Aug. 15, 2019.
Prior Publication US 2022/0036550 A1, Feb. 3, 2022
Int. Cl. G06T 7/00 (2017.01); G06F 18/214 (2023.01); G06N 3/04 (2023.01)
CPC G06T 7/0012 (2013.01) [G06F 18/214 (2023.01); G06N 3/04 (2013.01); G06T 2207/10081 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An artificial intelligence-based (AI-based) medical image processing method performed by a computing device, the method comprising:
processing a medical image to generate an encoded intermediate image representing a structural feature of the medical image;
segmenting the encoded intermediate image according to a first feature, to generate a segmented intermediate image including the first feature;
processing the encoded intermediate image and the segmented intermediate image based on an attention mechanism, to generate an attention-enhanced detected intermediate input image; and
performing second feature detection on the detected intermediate input image, to determine whether an image region of the detected intermediate input image in which the first feature is located comprises a second feature.