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Medical image modality classification and retrieval

    https://ieeexplore.ieee.org/document/5972544/
    First, we analyze how current state-of-the art image representations (bags of visual words and Fisher Vectors) perform when we use them for medical modality classification. Then we integrated these representations in a content based image …

Medical image modality classification and retrieval | IEEE …

    https://ieeexplore.ieee.org/abstract/document/5972544/
    The aim of this paper is to explore different medical image modality and retrieval strategies. First, we analyze how current state-of-the art image representations …

Developing intelligent medical image modality …

    https://www.nature.com/articles/s41598-020-69813-2
    Development of medical image modality classification system is helpful to limit the retrieval search space 17 for particular modality. Generally, two main …

(PDF) Medical image modality classification and retrieval

    https://www.researchgate.net/publication/224251249_Medical_image_modality_classification_and_retrieval
    Text feature representations for medical image modality classification were usually based on a binarized histogram vector where each element in the vector may …

Medical image modality classification and retrieval

    https://www.semanticscholar.org/paper/Medical-image-modality-classification-and-retrieval-Csurka-Clinchant/ed9eda4d8feb02d7c40bb0620b5eaead1f8783ce
    This paper analyzes how current state-of-the art image representations perform when they are used for medical modality classification and integrated these representations in a …

Medical Image Classification and Retrieval 2012

    https://www.imageclef.org/2012/medical
    Jan 12, 2011

Modality Based Medical Image Classification | SpringerLink

    https://link.springer.com/chapter/10.1007/978-981-10-0287-8_55
    They used the IRMA 2007 medical image database of 116 class images with 11,000 training and 1000 testing images. Han et al. described a methodology for …

A Review on Classification and Retrieval of Biomedical …

    https://link.springer.com/chapter/10.1007/978-3-030-75220-0_3
    Image retrieval and classification are the most prominent area of research in computer vision. Nowadays, bounteous medical images are generated through …

Medical image classification using synergic deep learning

    https://pubmed.ncbi.nlm.nih.gov/30818161/
    The classification of medical images is an essential task in computer-aided diagnosis, medical image retrieval and mining. Although deep learning has shown proven …

Developing intelligent medical image modality …

    https://pubmed.ncbi.nlm.nih.gov/32732962/
    It is challenging to retrieve the associated clinical cases automatically, efficiently and accurately from the substantial medical image archive due to diversity in …



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