Research and application of deep learning in laboratory medicine
10.3760/cma.j.issn.1009-9158.2019.12.016
- VernacularTitle: 深度学习在检验医学中的研究与应用
- Author:
Hong YAN
1
,
2
;
Guoye LIU
1
;
Yan LI
3
;
Rui XIA
1
;
Qian WANG
1
;
Chengbin WANG
2
Author Information
1. Department of Laboratory Medicine, Nanjing Brain Hospital, the Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
2. Clinical Laboratory Center, the First Medical Center of PLA General Hospital, Beijing 100853, China
3. Information Department, Nanjing Brain Hospital, the Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
- Publication Type:Review
- Keywords:
Deep learning;
Big data;
Medical laboratory
- From:
Chinese Journal of Laboratory Medicine
2019;42(12):1063-1066
- CountryChina
- Language:Chinese
-
Abstract:
In the context of the rapid development of big data in the healthcare field, deep learning (DL), as a machine learning algorithm that provides a more flexible solution for image and speech recognition as well as natural language processing, has the ability to extract important information from medical data into valuable knowledge and it has received unprecedented attention in many real-world tasks. This paper briefly introduces common network structure of deep learning and its latest research progress in the field of medical laboratory. In addition, this review also exploreed some of the inherent challenges and prospective research directions about deep learning that affecting in the medical laboratory.
