Method and device for processing pathological slide image

Patent metadata

Field	Value
Publication number	US-2023298171-A1
Application number	US-202318122837-A
Country	US
Kind code	A1
Filing date	Mar 17, 2023
Priority date	Mar 18, 2022
Publication date	Sep 21, 2023
Grant date	—

Abstract

A computing device includes at least one memory, and at least one processor configured to generate, based on first analysis on a pathological slide image, first biomarker expression information, generate, based on a user input for updating at least some of results of the first analysis, second biomarker expression information about the pathological slide image, and control a display device to output a report including medical information about at least some regions included in the pathological slide image, based on at least one of the first biomarker expression information or the second biomarker expression information.

First claim

What is claimed is:

1 . A computing device comprising:
at least one memory; and at least one processor configured to:
generate, based on first analysis on a pathological slide image, first biomarker expression information,
generate, based on a user input for updating at least some of results of the first analysis, second biomarker expression information about the pathological slide image, and
control a display device to output a report including medical information about at least some regions included in the pathological slide image, based on at least one of the first biomarker expression information or the second biomarker expression information.

2 . The computing device of claim 1 , wherein the processor is further configured to perform second analysis on the pathological slide image based on the user input, and generate the second biomarker expression information based on the second analysis.

3 . The computing device of claim 2 , wherein the first analysis is performed by a first machine learning model, and
the second analysis is performed by a second machine learning model that is obtained by updating the first machine learning model.

4 . The computing device of claim 3 , wherein the second machine learning model is obtained by training the first machine learning model based on information obtained by modifying the results of the first analysis according to the user input.

5 . The computing device of claim 2 , wherein the first biomarker expression information and the second biomarker expression information are generated by a third machine learning model.

6 . The computing device of claim 1 , wherein the processor is further configured to identify information about at least one tissue and cell expressed in the pathological slide image, and generate the first biomarker expression information based on the identified information.

7 . The computing device of claim 1 , wherein the user input comprises an input for updating the results of the first analysis after a user confirms the results of the first analysis according to priorities that are set based on the first biomarker expression information.

8 . The computing device of claim 1 , wherein the report comprises at least one of first medical information or second medical information,
wherein the first medical information is based on at least one of the results of the first analysis, results of the second analysis, the first biomarker expression information, or the second biomarker expression information, and wherein the second medical information is based on a result of comparing the first biomarker expression information with the second biomarker expression information.

9 . The computing device of claim 1 , wherein the processor is further configured to, before performing the first analysis on the pathological slide image, verify the pathological slide image and perform anonymization on subject-identifiable information among information corresponding to the pathological slide image.

10 . The computing device of claim 9 , wherein the processor is further configured to perform at least one of first verification on a staining method corresponding to the pathological slide image, second verification on metadata corresponding to the pathological slide image, or third verification on an image pyramid corresponding to the pathological slide image.

11 . The computing device of claim 1 , wherein the processor is further configured to control the display device to output the results of the first analysis and the first biomarker expression information.

12 . The computing device of claim 1 , wherein the processor is further configured to control the display device to output the second biomarker expression information.

13 . A method of processing a pathological slide image, the method comprising:
generating, based on first analysis on the pathological slide image, first biomarker expression information; generating, based on a user input for updating at least some of results of the first analysis, second biomarker expression information about the pathological slide image; and outputting a report including medical information about at least some regions included in the pathological slide image, based on at least one of the first biomarker expression information or the second biomarker expression information.

14 . The method of claim 13 , wherein the generating of the second biomarker expression information comprises:
performing, based on the user input, second analysis on the pathological slide image; and generating, based on the second analysis, the second biomarker expression information.

15 . The method of claim 14 , wherein the first analysis is performed by a first machine learning model, and
the second analysis is performed by a second machine learning model that is obtained by updating the first machine learning model.

16 . The method of claim 15 , wherein the second machine learning model is obtained by training the first machine learning model based on information obtained by modifying, according to the user input, the results of the first analysis.

17 . The method of claim 14 , wherein the first biomarker expression information and the second biomarker expression information are generated by a machine learning model.

18 . The method of claim 13 , wherein the generating of the first biomarker expression information comprises:
identifying information about at least one tissue and cell expressed in the pathological slide image; and generating, based on the identified information, the first biomarker expression information.

19 . The method of claim 13 , wherein the user input comprises an input for updating at least some of the results of the first analysis after a user confirms the results of the first analysis according to priorities that are set based on the first biomarker expression information.

20 . A non-transitory computer-readable recording medium having recorded thereon a program for causing a computer to execute the method of claim 13 .

Assignees

• Lunit Inc

Inventors

• Kang Jeong Seok
• Yoo Dong Geun
• Cho Soo Ick
• Jung Won Kyung

Classifications

• G16H30/40 Primary

  for processing medical images, e.g. editing · CPC title

• G06T7/0012 Primary

  Biomedical image inspection · CPC title

• G16H10/40

  for data related to laboratory analysis, e.g. patient specimen analysis · CPC title

• G16H15/00

  ICT specially adapted for medical reports, e.g. generation or transmission thereof · CPC title

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title