Cancer auxiliary analysis system and device based on he-stained pathological images

An auxiliary analysis and pathological image technology, applied in the field of medical imaging, can solve the problem of inability to accurately segment the cytoplasm, and achieve the effect of effective network model parameters, ensuring segmentation accuracy, and good segmentation accuracy and accuracy.
CN113256577BActive Publication Date: 2022-06-28湖南医药学院
3 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
湖南医药学院
Publication Date
2022-06-28

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to a cancer auxiliary analysis system and device based on HE staining pathological images, belonging to the technical field of medical imaging. In order to solve the problem that the existing cell segmentation neural network model cannot accurately segment the cytoplasm. The system of the present invention includes a dyed slice image acquisition module for acquiring HE-stained stained slice images, a cell nucleus segmentation module for transferring nuclei segmentation network models to image blocks, a cell nucleus masking module for masking cell nuclei, and adjustment Taking the cytoplasmic segmentation network model to perform cytoplasmic segmentation on the image masked by the nucleus masking module, the system also includes a cell overall unit determination module that maps the results of the cytoplasmic and nuclear segmentation modules into the same image block, and provides Ancillary Analysis Module for Cancer Ancillary Analysis. It is mainly used to provide auxiliary analysis for cancer identification.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to a cancer auxiliary analysis system and device, belonging to the technical field of medical imaging. Background technique

[0002] At present, the further judgment and analysis of many cancers basically rely on the analysis of the stained images of cancer sections. For the section staining process, hematoxylin-eosin (HE) staining is a commonly used staining method. . Due to the differences in HE staining operations and procedures, the staining effects are not the same, so there are also differences in the accuracy of judging pathological images based on HE staining.

[0003] At the same time, with the development of artificial intelligence, deep learning technology has become the mainstream technology or research direction in many application fields, and has achieved very good recognition and detection results in many fields. At present, many researchers and scholars use deep learning technology to identify cancer cells, so as...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More