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Automatic medical image classification for content based …

    https://pubmed.ncbi.nlm.nih.gov/18999170/
    This paper discusses results and methods used to automatically classify medical images for Content Based Image Retrieval (CBIR) systems. Using a supervised learning approach, we automatically classified over 3,000 medical images according to …

[PDF] Automatic medical image classification for content …

    https://www.semanticscholar.org/paper/Automatic-medical-image-classification-for-content-Uwimana-Ruiz/d1a85e3f655bfce59eb182e7a44300b4bbb9f14b
    This paper discusses results and methods used to automatically classify medical images for Content Based Image Retrieval (CBIR) systems. Using a supervised learning …

Automatic Medical Image Classification for Content …

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.6498
    This paper discusses methods used to automatically classify medical images for Content Based Image Retrieval (CBIR) systems and results obtained. Using a supervised learning …

Automatic medical image classification for content based …

    https://www.researchgate.net/publication/23463681_Automatic_medical_image_classification_for_content_based_image_retrieval_systems
    Uwimana, et at [31] proposed an automatic classification method of medical images for Content-Based Image Retrieval system (CBIRs). The multi-facet …

Content-based medical image classification using a new …

    https://pubmed.ncbi.nlm.nih.gov/18789648/
    Content-based medical image classification using a new hierarchical merging scheme Automatic medical image classification is a technique for assigning a medical image …

A Panoramic View of Content-based Medical Image …

    https://ieeexplore.ieee.org/document/9160122
    Abstract: Content-Based Image Retrieval (CBIR) system for medical applications is one of the trending research fields in computer vision and Digital image …

Content-based medical image retrieval: a survey of …

    https://pubmed.ncbi.nlm.nih.gov/23846532/
    Medical CBIR is an established field of study that is beginning to realize promise when applied to multidimensional and multimodality medical data. In this paper, we present a …

A review of content-based image retrieval systems in …

    https://pubmed.ncbi.nlm.nih.gov/15036075/
    In several articles, content-based access to medical images for supporting clinical decision-making has been proposed that would ease the management of clinical data and …

Automatic medical image annotation and keyword-based …

    https://pubmed.ncbi.nlm.nih.gov/22193754/
    For semantic keyword annotation, this study proposes a novel medical image classification method combining local wavelet-based center symmetric-local binary patterns with …

Automatic categorization of medical images for content …

    https://www.researchgate.net/publication/7977933_Automatic_categorization_of_medical_images_for_content-based_retrieval_and_data_mining
    In this paper, we evaluate automatic categorization into more than 80 categories describing the imaging modality and direction as well as the body part and …



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