A survey on artificial intelligence in pulmonary imaging

نویسندگان

چکیده

Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer vision and image recognition creating widespread opportunities of using artificial intelligence research as well industrial applications. DL been extensively studied medical imaging applications, including those related pulmonary diseases. Chronic obstructive disease, asthma, lung cancer, pneumonia, and, more recently, COVID-19 are common diseases affecting nearly 7.4% world population. Pulmonary widely investigated toward improving our understanding disease etiologies early diagnosis assessment progression clinical outcomes. broadly applied solve various processing challenges classification, recognition, registration, segmentation. This article presents survey diseases, roles translational research, applications different architectures methods with emphasis on DL-based segmentation major anatomies such volumes, lobes, vessels, airways thoracic musculoskeletal is categorized under: Application Areas > Health Care Technologies Artificial Intelligence Computational Science Technology

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ژورنال

عنوان ژورنال: Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

سال: 2023

ISSN: ['1942-4787', '1942-4795']

DOI: https://doi.org/10.1002/widm.1510