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Showing 1 - 4 results of 4 for search '(( binary image models optimization algorithm ) OR ( primary data process segmentation algorithm ))', query time: 0.09s Refine Results
  1. 1
    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine

    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli (20748758)

    Published 2024
    “…<p dir="ltr">Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …”
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  2. 2
    A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata

    A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata by Siddiqui, Ansah Juned

    Published 2025
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  3. 3
    The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation

    The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation by Getahun, Fekade

    Published 2007
    “…We particularly discuss multimedia primary horizontal fragmentation and focus on semantic-based textual predicates implication required as a pre-process in current fragmentation algorithms in order to partition multimedia data efficiently. …”
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  4. 4
    Towards Multimedia Fragmentation

    Towards Multimedia Fragmentation by Saad, Samir

    Published 2006
    “…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
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