Search Results - Elmoufidi, Abdelali

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  1. 1
    Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network

    Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network by Skouta, Ayoub, Elmoufidi, Abdelali, Jai-Andaloussi, Said, Ouchetto, Ouail

    Published in Journal of big data
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  2. 2
    Deep Multiple Instance Learning for Automatic Breast Cancer Assessment Using Digital Mammography

    Deep Multiple Instance Learning for Automatic Breast Cancer Assessment Using Digital Mammography by Elmoufidi, Abdelali

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  3. 3
    Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography

    Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography by Elmoufidi, Abdelali, Skouta, Ayoub, Jai-andaloussi, Said, Ouchetto, Ouail

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  4. 4
    An implementation of GPU accelerated mapreduce: using hadoop with openCL for breast cancer detection and compute-intensive jobs

    An implementation of GPU accelerated mapreduce: using hadoop with openCL for breast cancer detection and compute-intensive jobs by Ouhakki, Hamza, Elmoufidi, Abdelali

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  5. 5
    Diabetic Retinopathy Prevention Using EfficientNetB3 Architecture and Fundus Photography

    Diabetic Retinopathy Prevention Using EfficientNetB3 Architecture and Fundus Photography by Elmoufidi, Abdelali, Ammoun, Hind

    Published in SN computer science
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  6. 6
    Deep learning for diabetic retinopathy assessments: a literature review

    Deep learning for diabetic retinopathy assessments: a literature review by Skouta, Ayoub, Elmoufidi, Abdelali, Jai-Andaloussi, Said, Ouchetto, Ouail

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  7. 7
    Machine learning for glaucoma detection using fundus images

    Machine learning for glaucoma detection using fundus images by Elmoufidi, Abdelali, Hossi, Amine EL, Nachaoui, Mourad

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  8. 8
    Anomaly classification in digital mammography based on multiple-instance learning

    Anomaly classification in digital mammography based on multiple-instance learning by Elmoufidi, Abdelali, El Fahssi, Khalid, Jai-andaloussi, Said, Sekkaki, Abderrahim, Gwenole, Quellec, Lamard, Mathieu

    Published in IET image processing
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  9. 9
    Pre-Processing Algorithms on Digital X-ray Mammograms

    Pre-Processing Algorithms on Digital X-ray Mammograms by Elmoufidi, Abdelali

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  10. 10
    Automatic Diagnosing of Suspicious Lesions in Digital Mammograms

    Automatic Diagnosing of Suspicious Lesions in Digital Mammograms by ELMOUFIDI, Abdelali, El, Khalid, Jai-andaloussi, Said, Sekkaki, Abderrahim, Quellec, Gwenole, Lamard, Mathieu, Cazuguel, Guy

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  11. 11
    Automatically density based breast segmentation for mammograms by using dynamic K-means algorithm and Seed Based Region Growing

    Automatically density based breast segmentation for mammograms by using dynamic K-means algorithm and Seed Based Region Growing by Elmoufidi, Abdelali, El Fahssi, Khalid, Jai-Andaloussi, Said, Sekkaki, Abderrahim

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  12. 12
    Detection of regions of interest's in mammograms by using local binary pattern, dynamic k-means algorithm and gray level co-occurrence matrix

    Detection of regions of interest's in mammograms by using local binary pattern, dynamic k-means algorithm and gray level co-occurrence matrix by Elmoufidi, Abdelali, El Fahssi, Khalid, Jai-Andaloussi, Said, Madrane, Nabil, Sekkaki, Abderrahim

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