Title:
METHOD FOR SEGMENTING LIVER AND FOCUS THEREOF IN MEDICAL IMAGE
Document Type and Number:
WIPO Patent Application WO/2021/184817
Kind Code:
A1
Abstract:
The present invention relates to a method for segmenting a liver and a focus thereof in a medical image. The method comprises: firstly carrying out the screening and integration preprocessing of abdominal CT image data, dividing the abdominal CT image data into a plurality of data sets with different purposes, then building a new neural network, and carrying out initial training by employing small image data; then, storing the trained model, carrying out secondary training by using an original image and a new data enhancement mode, carrying out expansion and corrosion processing on a predicted image, and evaluating same by using a medical evaluation index; respectively by means of model prediction results trained by DL, GDL and TL loss functions, adding and averaging the prediction results of three loss models to form a fusion feature; and finally, modifying a network, wherein the three loss models are fused in a single network for training prediction. An end-to-end training test can be carried out, the liver and a focus can be identified at the same time with high precision and high speed, doctors are effectively helped to identify CT images, thereby reducing time and energy consumed by doctors, and reducing the probability of misdiagnosis.
Inventors:
XI XUEFENG (CN)
ZHENG ZHIHUA (CN)
CHENG CHENG (CN)
CUI ZHIMING (CN)
HU FUYUAN (CN)
FU BAOCHUAN (CN)
ZHENG ZHIHUA (CN)
CHENG CHENG (CN)
CUI ZHIMING (CN)
HU FUYUAN (CN)
FU BAOCHUAN (CN)
Application Number:
PCT/CN2020/131402
Publication Date:
September 23, 2021
Filing Date:
November 25, 2020
Export Citation:
Assignee:
UNIV SUZHOU SCI & TECHNOLOGY (CN)
SUZHOU GOLDBIT DATA INFORMATION TECH CO LTD (CN)
SUZHOU GOLDBIT DATA INFORMATION TECH CO LTD (CN)
International Classes:
G06T7/11; G06N3/04; G06T5/00; G06T5/30
Foreign References:
| CN111402268A | 2020-07-10 | |||
| US20200074637A1 | 2020-03-05 | |||
| CN108492286A | 2018-09-04 | |||
| CN110120033A | 2019-08-13 | |||
| CN110853038A | 2020-02-28 |
Other References:
ABRAHAM NABILA; KHAN NAIMUL MEFRAZ: "A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation", 2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019), 8 April 2019 (2019-04-08), pages 683 - 687, XP033576451, DOI: 10.1109/ISBI.2019.8759329
Attorney, Agent or Firm:
JIANGSU SUNDY LAW FIRM (CN)
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