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- Title
Application of image recognition technology in pathological diagnosis of blood smears.
- Authors
Cheng, Wangxinjun; Liu, Jingshuang; Wang, Chaofeng; Jiang, Ruiyin; Jiang, Mei; Kong, Fancong
- Abstract
Traditional manual blood smear diagnosis methods are time-consuming and prone to errors, often relying heavily on the experience of clinical laboratory analysts for accuracy. As breakthroughs in key technologies such as neural networks and deep learning continue to drive digital transformation in the medical field, image recognition technology is increasingly being leveraged to enhance existing medical processes. In recent years, advancements in computer technology have led to improved efficiency in the identification of blood cells in blood smears through the use of image recognition technology. This paper provides a comprehensive summary of the methods and steps involved in utilizing image recognition algorithms for diagnosing diseases in blood smears, with a focus on malaria and leukemia. Furthermore, it offers a forward-looking research direction for the development of a comprehensive blood cell pathological detection system.
- Subjects
IMAGE recognition (Computer vision); DIGITAL transformation; BLOOD cells; COMPUTER engineering; DEEP learning
- Publication
Clinical & Experimental Medicine, 2024, Vol 24, Issue 1, p1
- ISSN
1591-8890
- Publication type
Article
- DOI
10.1007/s10238-024-01379-z