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OpenAlex konusu

Digital Imaging for Blood Diseases

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

OpenAlex 1.270 eser 57 yazar konusu

Çalışmalar

1.270 eser

  1. Histopathological Image Analysis: A Review 2009
    OpenAlex üst %1 OpenAlex 99.8%

    Over the past decade, dramatic increases in computational power and improvement in image analysis algorithms have allowed the development of powerful computer-assisted analytical approaches to radiological data. With the recent advent of whole slide digital scanners, tissue histopathology slides can now be digitized a…

  2. 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.

  3. Bibliometric Analysis using Bibliometrix an R Package 2020
    YÖKSİS SJR Q3 JCR Q3 OpenAlex üst %1 OpenAlex 99.9%

    This study aims to explore the usage of Open-source software in bibliometric analysis. Biblio-metrix an R package for bibliometric and co-citation analysis was used to achieve the research activities. R is an ecosystem software meaning all functions are shared in an open-source environment with the users. We have used…

  4. 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.

  5. Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning 2019
    OpenAlex üst %1 OpenAlex 100.0%

    Pneumonia is a disease which occurs in the lungs caused by a bacterial infection. Early diagnosis is an important factor in terms of the successful treatment process. Generally, the disease can be diagnosed from chest X-ray images by an expert radiologist. The diagnoses can be subjective for some reasons such as the a…

  6. Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.7%

    Özet henüz yok.

  7. Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.7%

    Özet henüz yok.

  8. Automated Invasive Ductal Carcinoma Detection Based Using Deep Transfer Learning with Whole-Slide Images 2020
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.8%

    Özet henüz yok.

  9. A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models 2019
    OpenAlex üst %1 OpenAlex 99.8%

    Özet henüz yok.

  10. Brain tumor classification using modified local binary patterns (LBP) feature extraction methods 2020
    YÖKSİS SJR Q3 JCR Q4 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  11. Brain tumor classification using modified local binary patterns (LBP) feature extraction methods 2020
    YÖKSİS SJR Q3 JCR Q4 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  12. Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods 2017
    YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.8%

    Özet henüz yok.

Akademisyenler

57 akademisyen