Application of image recognition technology in pathological diagnosis of blood smears.

IF 3.2 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Wangxinjun Cheng, Jingshuang Liu, Chaofeng Wang, Ruiyin Jiang, Mei Jiang, Fancong Kong
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引用次数: 0

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.

Abstract Image

图像识别技术在血液涂片病理诊断中的应用。
传统的人工血涂片诊断方法耗时且容易出错,通常严重依赖临床实验室分析人员的经验来确保准确性。随着神经网络和深度学习等关键技术的突破不断推动医疗领域的数字化转型,图像识别技术正越来越多地被用来增强现有的医疗流程。近年来,计算机技术的进步提高了利用图像识别技术识别血液涂片中血细胞的效率。本文以疟疾和白血病为重点,全面总结了利用图像识别算法诊断血液涂片中疾病的方法和步骤。此外,它还为开发全面的血细胞病理检测系统提供了一个前瞻性的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical and Experimental Medicine
Clinical and Experimental Medicine 医学-医学:研究与实验
CiteScore
4.80
自引率
2.20%
发文量
159
审稿时长
2.5 months
期刊介绍: Clinical and Experimental Medicine (CEM) is a multidisciplinary journal that aims to be a forum of scientific excellence and information exchange in relation to the basic and clinical features of the following fields: hematology, onco-hematology, oncology, virology, immunology, and rheumatology. The journal publishes reviews and editorials, experimental and preclinical studies, translational research, prospectively designed clinical trials, and epidemiological studies. Papers containing new clinical or experimental data that are likely to contribute to changes in clinical practice or the way in which a disease is thought about will be given priority due to their immediate importance. Case reports will be accepted on an exceptional basis only, and their submission is discouraged. The major criteria for publication are clarity, scientific soundness, and advances in knowledge. In compliance with the overwhelmingly prevailing request by the international scientific community, and with respect for eco-compatibility issues, CEM is now published exclusively online.
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