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Title:
IMAGE SEGMENTATION MODEL TRAINING METHOD, IMAGE SEGMENTATION METHOD, AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2024/031219
Kind Code:
A1
Abstract:
Provided in the present application are an image segmentation model training method, an image segmentation method, an apparatus, and a device. The training method comprises: acquiring medical images for training and segmentation results of said medical images; and according to said medical images and the segmentation results of said medical images, training an image segmentation model until a preset condition is met, and obtaining the trained image segmentation model. The model comprises an encoder module and a decoder module; the encoder module comprises, connected in sequence, a first convolutional layer, a pooling layer and a plurality of efficient pyramid split attention units; each efficient pyramid split attention unit comprises, connected in sequence, a second convolutional layer, a pyramid squeeze attention module and a third convolutional layer. By using the pyramid squeeze attention module in the encoder module, the feature extraction capability of the encoder module is improved, so that the image segmentation model can pay more attention to a target object having a saliency feature, thus improving the segmentation accuracy of the image segmentation model.

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Inventors:
LIAO XIANGXIANG (CN)
XU CANQIANG (CN)
CHEN BICHAO (CN)
LI MEI (CN)
LI YUXIANG (CN)
ZHANG YONG (CN)
Application Number:
PCT/CN2022/110779
Publication Date:
February 15, 2024
Filing Date:
August 08, 2022
Export Citation:
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Assignee:
BGI SHENZHEN (CN)
International Classes:
G06T7/00
Foreign References:
CN112070772A2020-12-11
CN113421276A2021-09-21
CN114663655A2022-06-24
Other References:
ZHANG HU, ZU KEKE, LU JIAN, ZOU YURU, MENG DEYU: "EPSANet: An efficient pyramid squeeze attention block on convolutional neural network", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, ARXIV.ORG, ITHACA, 30 May 2021 (2021-05-30), Ithaca, XP093138036, Retrieved from the Internet DOI: 10.48550/arXiv.2105.14447
Attorney, Agent or Firm:
UNITALEN ATTORNEYS AT LAW (CN)
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