Search Results - Attique Khan, Muhamamd

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  1. 1
    Skin Lesion Segmentation and Classification Using Conventional and Deep Learning Based Framework

    Skin Lesion Segmentation and Classification Using Conventional and Deep Learning Based Framework by Bibi, Amina, Attique Khan, Muhamamd, Younus Javed, Muhammad, Tariq, Usman, Kang, Byeong-Gwon, Nam, Yunyoung, R. Mostafa, Reham, H. Sakr, Rasha

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  2. 2
    A Two Stream Fusion Assisted Deep Learning Framework for Stomach Diseases Classification

    A Two Stream Fusion Assisted Deep Learning Framework for Stomach Diseases Classification by Shahid Amin, Muhammad, Hussain Shah, Jamal, Yasmin, Mussarat, Jillani Ansari, Ghulam, Attique Khan, Muhamamd, Tariq, Usman, Jin Kim, Ye, Chang, Byoungchol

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  3. 3
    Cotton Leaf Diseases Recognition Using Deep Learning and Genetic Algorithm

    Cotton Leaf Diseases Recognition Using Deep Learning and Genetic Algorithm by Rizwan Latif, Muhammad, Attique Khan, Muhamamd, Younus Javed, Muhammad, Masood, Haris, Tariq, Usman, Nam, Yunyoung, Kadry, Seifedine

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  4. 4
    Deep Learning and Improved Particle Swarm Optimization Based Multimodal Brain Tumor Classification

    Deep Learning and Improved Particle Swarm Optimization Based Multimodal Brain Tumor Classification by Bin T. Tahir, Ayesha, Attique Khan, Muhamamd, Alhaisoni, Majed, Ali Khan, Junaid, Nam, Yunyoung, Wang, Shui-Hua, Javed, Kashif

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  5. 5
    BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images

    BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images by Rehman, Shams Ur, Khan, Muhamamd Attique, Masood, Anum, Almujally, Nouf Abdullah, Baili, Jamel, Alhaisoni, Majed, Tariq, Usman, Zhang, Yu-Dong

    Published in Diagnostics (Basel)
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  6. 6
    BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images

    BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images by Rehman, Shams ur, Khan, Muhamamd Attique, Masood, Anum, Almujally, Nouf Abdullah, Baili, Jamel, Alhaisoni, Majed, Tariq, Usman, Zhang, Yu-Dong

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