US 12,224,057 B2
Medical image processing method, processing apparatus, and computer-readable storage medium
Na Zhang, Shenzhen (CN); Hairong Zheng, Shenzhen (CN); Xin Liu, Shenzhen (CN); Zhanli Hu, Shenzhen (CN); Zhiyuan Huang, Shenzhen (CN); and Dong Liang, Shenzhen (CN)
Assigned to SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY, Shenzhen (CN)
Filed by SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY, Shenzhen (CN)
Filed on May 8, 2022, as Appl. No. 17/739,121.
Application 17/739,121 is a continuation of application No. PCT/CN2020/103371, filed on Jul. 21, 2020.
Prior Publication US 2022/0262498 A1, Aug. 18, 2022
Int. Cl. G16H 30/00 (2018.01); G06N 3/084 (2023.01); G06T 5/70 (2024.01); G06V 10/75 (2022.01); G06V 10/774 (2022.01); G16H 30/40 (2018.01)
CPC G16H 30/40 (2018.01) [G06N 3/084 (2013.01); G06T 5/70 (2024.01); G06V 10/751 (2022.01); G06V 10/7753 (2022.01)] 17 Claims
OG exemplary drawing
 
1. A medical image processing method, comprising:
obtaining a to-be-processed image;
performing a feature extraction on the to-be-processed image to obtain a corresponding feature image; and
re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image; wherein the first information is information of a pixel adjacent to the corresponding pixel in the features image, and the second information is information of a pixel that is not adjacent to and is similar to the corresponding pixel in the features image,
wherein the re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image comprise:
obtaining pixels in a neighborhood with a radius r around the corresponding pixel in the feature image to form a first pixel set, and obtaining pixels similar to the corresponding pixel in the feature image and located outside the neighborhood to form a second pixel set; wherein r is a preset neighborhood radius parameter, being a positive integer;
obtaining a first contribution rate of each first pixel in the first pixel set to the corresponding pixel in the features image, and obtaining a second contribution rate of each second pixel in the second pixel set to the corresponding pixel in the features image; wherein a sum of all the first contribution rates and all the second contribution rates is 1; and
for each first pixel, multiplying a pixel value and the corresponding first contribution rate of the first pixel to obtain a first product; for each second pixel, multiplying a pixel value and the corresponding second contribution rate of the second pixel to obtain a second product; and adding all the first products with all the second products to obtain a sum, and taking the sum as a pixel value of the corresponding pixel in the features image.