|Table of Contents|

Research progress in the field of deep learning assisted pathological diagnosis

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2024 19
Page:
3791-3795
Research Field:
Publishing date:

Info

Title:
Research progress in the field of deep learning assisted pathological diagnosis
Author(s):
WANG Chao1; 2; GUO Ying1; 2; 3; 4; CUI Lei5; YAN Qingguo1; 2
1.Department of Pathology,Medical College of Northwest University,Shaanxi Xi'an 710069,China;2.Key Laboratory of Resource Biology and Biotechnology in Western China,Ministry of Education,School of Medicine,Northwest University,Shaanxi Xi'an 710069,China;3.Department of Pathology,Xi'an Daxing Hospital,Shaanxi Xi'an 710003,China;4.Yan'an University,Shaanxi Yan'an 716000,China;5.Northwest University School of Information Science and Technology，Shaanxi Xi'an 710127,China.
Keywords:
pathologic diagnosis; artificial intelligence; deep learning
PACS:
R730.4
DOI:
10.3969/j.issn.1672-4992.2024.19.029
Abstract:
The development of artificial intelligence has become China's national strategy,and its application in the field of clinical medicine is increasingly widespread.In the field of pathology,the development and application of deep learning assisted diagnostic systems have made significant progress in cytopathology and histopathological examination,immunohistochemistry and molecular pathology detection,and many applications have entered clinical practice.Through indepth analysis of pathological images,deep learning can mine deeper information of diseases,help to improve the objectivity and accuracy of pathological diagnosis,reduce the time and cost required for disease diagnosis,and provide help for accurate diagnosis and treatment of diseases.This article aims to review the application progress of deep learning in assisting pathological diagnosis in recent years.

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Memo

Memo:
National Natural Science Foundation of China(No.82260319，62106198);国家自然科学基金（编号：82260319，62106198）
Last Update: 2024-08-30