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Ahmad et al., 2018 - Google Patents

Medical image retrieval with compact binary codes generated in frequency domain using highly reactive convolutional features

Ahmad et al., 2018

Document ID
2557579983789469799
Author
Ahmad J
Muhammad K
Baik S
Publication year
Publication venue
Journal of medical systems

External Links

Snippet

Efficient retrieval of relevant medical cases using semantically similar medical images from large scale repositories can assist medical experts in timely decision making and diagnosis. However, the ever-increasing volume of images hinder performance of image retrieval …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/46Extraction of features or characteristics of the image
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    • G06K9/6261Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
    • GPHYSICS
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