Rezultati - Tayyaba Anees

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  1. 1
    Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds

    Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds od Hassaan Malik, Tayyaba Anees

    Izdano 2024
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  2. 2
    DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images

    DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images od Ahmad Naeem, Tayyaba Anees

    Izdano 2024
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  3. 3
    BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs

    BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs od Hassaan Malik, Tayyaba Anees, Mui-zzud-din

    Izdano 2022
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  4. 4
    CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays

    CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays od Hassaan Malik, Tayyaba Anees, Mui-zzud- din, Ahmad Naeem

    Izdano 2022
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  5. 5
    A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis

    A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis od Ahmad Naeem, Tayyaba Anees, Rizwan Ali Naqvi, Woong-Kee Loh

    Izdano 2022
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  6. 6
    SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images

    SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images od Ahmad Naeem, Tayyaba Anees, Makhmoor Fiza, Rizwan Ali Naqvi, Seung Won Lee

    Izdano 2022
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  7. 7
    Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans

    Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans od Hassaan Malik, Tayyaba Anees, Ahmad Naeem, Rizwan Ali Naqvi, Woong-Kee Loh

    Izdano 2023
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  8. 8
    SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images

    SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images od Ahmad Naeem, Tayyaba Anees, Mudassir Khalil, Kiran Zahra, Rizwan Ali Naqvi, Seung Won Lee

    Izdano 2024
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  9. 9
    A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images

    A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images od Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, Radomír Goňo, Michał Jasiński, Zbigniew Leonowicz, Petr Bernat

    Izdano 2023
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