Application of Artificial Intelligence in Medical Imaging Diagnosis
Keywords:
Artificial Intelligence, Cancer Diagnosis and Treatment, Medical Imaging, Image Processing
Abstract
Both the treatment of cancer and other serious diseases often depends on the diagnosis of artificial complexity and heavy experience. The introduction of artificial intelligence in medical imaging has injected vitality into the diagnosis of images. Artificial intelligence uses deep learning, image segmentation, neural networks and other algorithms flexibly in image recognition through learning data sets to extract features for accurate diagnosis of clinical diseases. At the same time, it also plays a special role in controlling the spread of infectious diseases such as new coronary pneumonia.References
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[2] Li D, Wang Y, Li Y, et al. Artificial intelligence in medical imaging diagnosis application research (in Chinese). Chinese Journal of Clinical Anatomy 2020; 38(1): 110-113.
[3] Li W, Chen S, Zhang L, et al. Pulmonary angiography detection based on deep learning image processing study (in Chinese). Automation and Instrumentation 2019; (12): 102-104+109.
[4] Zhou J. Lung X-ray image based on big data analysis and research method (in Chinese). Guizhou University 2019.
[5] Liu X. Liver CT image feature extraction and recognition study and systematic realization (in Chinese). Jiangsu University 2019.
[6] Hu H. Female cancer medical image recognition applied research based on transfer learning (in Chinese). Tianjin Polytechnic University 2019.
[7] Yu J. Artificial intelligence identification CT intracranial hematoma image cerebral hemorrhage blend sign correlation algorithm study (in Chinese). China Medical University 2018.
[8] Wu H, Weng X, Wang L, et al. Medical image big data storage and mining technology research (in Chinese). China Digital Medicine 2016; 11(2): 2-6.
[9] Zhu Y. Novel coronavirus pneumonia CT image AI system "read" in 10 seconds (in Chinese). Health News 2020; (8).
[10] Zhang H. The role of medical imaging technique in acute mesenteric vascular ischemic disease diagnosis and treatment (in Chinese). Medical Theory and Practice 2020; 33(4): 550-552.
Published
2020-02-03
Issue
Section
Original Research Article
Copyright (c) 2020 Linyi Zhang
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