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OpenAlex konusu

COVID-19 diagnosis using AI

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 4.189 eser 155 yazar konusu

Çalışmalar

4.189 eser

  1. Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks 2021
    YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %1 OpenAlex 100.0%

    The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread rapidly among people living in other countries and is approaching approximately 101,917,147 cases worldwide according to the statistics of World Health Organization. There are a limited number of COVID-19 test kits available in h…

  2. Artificial intelligence, machine learning and deep learning in advanced robotics, a review 2023
    YÖKSİS SJR Q1 OpenAlex üst %1 OpenAlex 100.0%

    Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. Some of the applica…

  3. Coronavirus Diseases (COVID-19) Current Status and Future Perspectives: A Narrative Review 2020
    YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.1%

    At the end of 2019 a novel virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing severe acute respiratory syndrome expanded globally from Wuhan, China. In March 2020 the World Health Organization declared the SARS-Cov-2 virus a global pandemic. We performed a narrative review to describe existin…

  4. CHAOS Challenge- combined (CT-MR) healthy abdominal organ segmentation 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

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  5. CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

    Özet henüz yok.

  6. COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images 2020
    YÖKSİS SJR Q3 JCR Q4 OpenAlex üst %1 OpenAlex 99.9%

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  7. COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images 2020
    YÖKSİS SJR Q3 JCR Q4 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  8. Deep learning approaches for COVID-19 detection based on chest X-ray images 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  9. Automatic Tuberculosis Screening Using Chest Radiographs 2014
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.7%

    Tuberculosis is a major health threat in many regions of the world. Opportunistic infections in immunocompromised HIV/AIDS patients and multi-drug-resistant bacterial strains have exacerbated the problem, while diagnosing tuberculosis still remains a challenge. When left undiagnosed and thus untreated, mortality rates…

  10. Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration 2014
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.9%

    The National Library of Medicine (NLM) is developing a digital chest X-ray (CXR) screening system for deployment in resource constrained communities and developing countries worldwide with a focus on early detection of tuberculosis. A critical component in the computer-aided diagnosis of digital CXRs is the automatic…

  11. Estimation of COVID-19 prevalence in Italy, Spain, and France 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  12. COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

Akademisyenler

155 akademisyen