Automatic section reading method and system for PD-L1 antibody staining sections

A PD-L1 and antibody technology, applied in the field of data processing, can solve the problems of inconvenience and large reading labor, and achieve the effect of fast analysis and reduced reading labor.

Inactive Publication Date: 2019-06-11
志诺维思(北京)基因科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the quantitative analysis of PD-L1 immunohistochemical staining sections is mainly carried out manually, and it is inconvenient for doctors to read the slides with a large amount of labor.

Method used

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  • Automatic section reading method and system for PD-L1 antibody staining sections
  • Automatic section reading method and system for PD-L1 antibody staining sections
  • Automatic section reading method and system for PD-L1 antibody staining sections

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Embodiment Construction

[0058] The technical solutions in the present disclosure will be clearly and completely described below in conjunction with the drawings in the present disclosure. Obviously, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The components of the present disclosure generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative effort shall fall within the protection scope of the present disclosure.

[0059] It should be noted that like numerals and letters denote similar items...

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Abstract

The present disclosure provides an automatic section reading method and system for PD-L1 antibody staining sections. Based on medical digitalimage analysis and processing, the PD-L1 immunohistochemical staining section can be automatically read. In detail, the method disclosed by the invention comprises the following steps: preprocessing the PD-L1 staining digital section image, and obtaining a to-be-analyzed image; inputting the to-be-analyzed image into a pre-established prediction model, and obtaining a target area corresponding to a set cell in the to-be-analyzed image; carrying out imageanalysis on the cell image of each set cell in the target area, identifying the total number of the cells in the target area and the number of the cells which are membrane-positive, and obtaining theproportion of the cells which are membrane-positive in the target area. Finally rapid, accurate and automatic section reading on the set cells is achieved.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, in particular, to an automatic reading method and system for PD-L1 antibody stained sections based on medical digital image analysis and processing. Background technique [0002] With the rise of immunotherapy, corresponding drugs have been produced targeting PD-L1 protein in the immune signaling pathway, such as Atezolizumab, Pembrolizumab, Nivolumab, etc. While improving the therapeutic effect, higher requirements are put forward for the quantitative analysis of PD-L1 immunohistochemically stained sections. At present, the quantitative analysis of PD-L1 immunohistochemical staining sections is mainly carried out manually, which requires a large amount of labor for doctors to read the slides and is inconvenient to implement. Contents of the invention [0003] The present disclosure provides an automatic reading method and system for PD-L1 antibody stained sections. [0004] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/90G06M11/00G01N21/84
CPCG01N21/84G06M11/00G06T7/11G06T7/90G06T2207/10056G06T2207/30024G06T2207/30242
Inventor 刘小晴刘昌灵张亚军张军杰凌少平
Owner 志诺维思(北京)基因科技有限公司
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