Skip to content
akaturk Academic measurement

OpenAlex topic

Image Retrieval and Classification Techniques

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,478 works 78 author topics

Works

1,478 works

  1. YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.9%

    The Journal of Electronic Imaging (JEI), copublished bimonthly with the Society for Imaging Science and Technology, publishes peer-reviewed papers that cover research and applications in all areas of electronic imaging science and technology.

  2. YÖKSİS SJR Q3 JCR Q2 OpenAlex top 10% OpenAlex 90.8%

    The U.S. National Library of Medicine has made two datasets of postero-anterior (PA) chest radiographs available to foster research in computer-aided diagnosis of pulmonary diseases with a special focus on pulmonary tuberculosis (TB). The radiographs were acquired from the Department of Health and Human Services, Mont…

  3. OpenAlex top 1% OpenAlex 99.7%

    No abstract yet.

  4. OpenAlex top 1% OpenAlex 99.9%

    No abstract yet.

  5. OpenAlex top 1% OpenAlex 99.9%

    Generative adversarial models with convolutional neural network (CNN) backbones have recently been established as state-of-the-art in numerous medical image synthesis tasks. However, CNNs are designed to perform local processing with compact filters, and this inductive bias compromises learning of contextual features.…

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  7. OpenAlex top 10% OpenAlex 97.8%

    Character recognition (CR) has been extensively studied in the last half century and has progressed to a level that is sufficient to produce technology-driven applications. Now, rapidly growing computational power is enabling the implementation of the present CR methodologies and is creating an increasing demand in ma…

  8. OpenAlex top 10% OpenAlex 93.5%

    No abstract yet.

  9. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.9%

    Object category localization is a challenging problem in computer vision. Standard supervised training requires bounding box annotations of object instances. This time-consuming annotation process is sidestepped in weakly supervised learning. In this case, the supervised information is restricted to binary labels that…

  10. YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.3%

    No abstract yet.

  11. YÖKSİS SJR Q2 JCR Q3 OpenAlex top 1% OpenAlex 99.6%

    No abstract yet.

  12. YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.8%

    Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we classify the existing approaches based on how they conceptualize this problem, viz., models that c…

Academicians

78 academicians