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34 ta ish

Ish: Integrating histopathology and immune marker analysis for machine learning-based colorectal cancer prognostics

  1. Assessing the efficacy of 3D Dual-CycleGAN model for multi-contrast MRI synthesis

    Ali Mahboubisarighieh, Hossein Shahverdi, Shabnam Jafarpoor Nesheli +4

    Maqola202410 iqtibos
    ABI

  2. Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural Network

    Salar Bijari, Sahar Sayfollahi, S. Rouhani +4

    Maqola202410 iqtibos
    ABI

  3. <scp>YOLOv8</scp> Outperforms Traditional <scp>CNN</scp> Models in Mammography Classification: Insights From a Multi‐Institutional Dataset

    Erfan AkbarnezhadSany, Hossein EntezariZarch, Mohammad AlipoorKermani +11

    Maqola20248 iqtibos
    ABI

  4. Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems

    Mehdi Fatan, Mahdi Hosseinzadeh, Dariush Askari +3

    Bob20228 iqtibos
    ABI

  5. Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques

    Seyed Masoud Rezaeijo, Ali Harimi, Mohammad R. Salmanpour

    Bob20237 iqtibos
    ABI

  6. Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques

    Mohammad R. Salmanpour, Seyed Masoud Rezaeijo, Mahdi Hosseinzadeh +1

    Maqola20235 iqtibos
    ABI

  7. Colorectal cancer: a review

    Juan José Granados-Romero, Alan I. Valderrama-Treviño, Ericka Contreras-Flores +7

    Sharh maqola20173 iqtibos
    ABI

  8. A Review of Deep Transfer Learning and Recent Advancements

    Mohammadreza Iman, Hamid R. Arabnia, Khaled Rasheed

    Sharh maqola20232 iqtibos
    ABI

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