دانلود مقاله انگلیسی رایگان:آنالیز خون میکروسکوپی مجهز به هوش مصنوعی برای هماتولوژی  میکروسیال COVID-19 - 2020
دانلود بهترین مقالات isi همراه با ترجمه فارسی
دانلود مقاله انگلیسی هوش مصنوعی رایگان
  • AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology
    AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology


    ترجمه فارسی عنوان مقاله:

    آنالیز خون میکروسکوپی مجهز به هوش مصنوعی برای هماتولوژی میکروسیال COVID-19


    منبع:

    IEEE - 2020 5th International Conference on Computational Intelligence and Applications (ICCIA);2020; ; ;10.1109/ICCIA49625.2020.00026


    نویسنده:

    Tiancheng Xia1, Yong Qing Fu2, Nanlin Jin2, Paul Chazot3, Plamen Angelov1 and Richard Jiang1


    چکیده انگلیسی:

    Microscopic blood cell analysis is an important methodology for medical diagnosis, and complete blood cell counts (CBCs) are one of the routine tests operated in hospitals. Results of the CBCs include amounts of red blood cells, white blood cells and platelets in a unit blood sample. It is possible to diagnose diseases such as anemia when the numbers or shapes of red blood cells become abnormal. The percentage of white blood cells is one of the important indicators of many severe illnesses such as infection and cancer. The amounts of platelets are decreased when the patient suffers hemophilia. Doctors often use these as criteria to monitor the general health conditions and recovery stages of the patients in the hospital. However, many hospitals are relying on expensive hematology analyzers to perform these tests, and these procedures are often time consuming. There is a huge demand for an automated, fast and easily used CBCs method in order to avoid redundant procedures and minimize patients’ burden on costs of healthcare. In this research, we investigate a new CBC detection method by using deep neural networks, and discuss state of the art machine learning methods in order to meet the medical usage requirements. The approach we applied in this work is based on YOLOv3 algorithm, and our experimental results show the applied deep learning algorithms have a great potential for CBCs tests, promising for deployment of deep learning methods into microfluidic point-of-care medical devices. As a case of study, we applied our blood cell detector to the blood samples of COVID-19 patients, where blood cell clots are a typical symptom of COVID-19.
    Keywords : microfluidic device | microscopic imaging | blood analysis haematology | COVID-19 | deep learning at edge


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 4
    حجم فایل: 630 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




اگر این مقاله را پسندیدید آن را در شبکه های اجتماعی به اشتراک بگذارید (برای به اشتراک گذاری بر روی ایکن های زیر کلیک کنید)

تعداد نظرات : 0

الزامی
الزامی
الزامی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi