Patent · US Active

Methods of segmenting an abdominal image, computer apparatuses, and storage mediums

US11302014B2 · kind B2 · utility

0Cited by

9References

17Claims

0Family size

Assignees

Shanghai Sixth People's Hospital · CN
Shanghai Jiao Tong University · CN

Inventors

Weiping Jia · Shanghai, CN
Bin Sheng · Nanjing, CN
Huating Li · Shanghai, CN
Siyuan Pan · Changsha, CN
Xuhong Hou · Shanghai, CN
Liang Wu · Auburn, US

Key dates

Filing date	Nov 16, 2018
Grant date	Apr 12, 2022
Priority date	—
Expiry date	Jan 22, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06V2201/03
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods of segmenting an abdominal image, computer apparatuses and storage mediums. The method includes acquiring an abdominal image to be examined; and classifying pixels in the abdominal image to be examined based on a trained full convolution neural network, and determining a segmented image corresponding to the abdominal image to be examined, wherein the trained full convolution neural network is trained and determined based on a first training set and a second training set, the first training set includes first sample abdominal images and pixel classification label images corresponding to the first sample abdominal images, the second training set includes second sample abdominal images and the number of pixels of second sample abdominal images correspondingly belong to each class. Through the methods herein, the accuracy of the segmentation can be improved.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.