Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
BRAIN TISSUE LAYERING METHOD AND DEVICE BASED ON NEURAL NETWORK, AND COMPUTER DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/057148
Kind Code:
A1
Abstract:
A brain tissue layering method and device based on a neural network, a computer device, and a storage medium, relating to the field of artificial intelligence. The method comprises: obtaining brain CT image information (201); extracting features of the brain CT image information by means of a pre-trained brain cutting convolutional neural network to obtain a feature map of the brain CT image (202); performing a candidate box alignment operation on the feature map of the brain CT image to obtain semantic information of an instance category and location information of an instance pixel level (203); and inputting the semantic information of the instance category and the location information of the instance pixel level into a pre-trained layering neural network, and outputting a layered result of the brain CT image (204). By fusing the brain cutting convolutional neural network and the brain layering neural network, the results of brain cutting and brain layering are obtained simultaneously by using one model, so that the operation time and the consumption of operation resources are reduced, and the tasks of brain cutting and brain layering can share feature information, thereby improving the accuracy of brain layering.

Inventors:
ZHUO BAIQUAN (CN)
ZHOU XIN (CN)
LV CHUANFENG (CN)
Application Number:
PCT/CN2020/098936
Publication Date:
April 01, 2021
Filing Date:
June 29, 2020
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06T7/00; G06K9/62
Foreign References:
CN110827236A2020-02-21
US20190139216A12019-05-09
CN110263656A2019-09-20
CN110060244A2019-07-26
CN109493330A2019-03-19
Other References:
YIN HANG: "Research and Application of Ventricular Segmentation Using Nuclear Magnetic Resonance Imaging Based on Deep Learning", CHINESE MASTER'S THESES FULL-TEXT DATABASE, 1 April 2019 (2019-04-01), pages 1 - 67, XP055795803, ISSN: 1674-0246
HE KAIMING; GKIOXARI GEORGIA; DOLLAR PIOTR; GIRSHICK ROSS: "Mask R-CNN", 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)​, 22 October 2017 (2017-10-22), pages 2980 - 2988, XP033283165, DOI: 10.1109/ICCV.2017.322
Attorney, Agent or Firm:
SL INTELLECTUAL PROPERTY CO., LTD. (CN)
Download PDF: