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34 та иш

Иш: 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

    Мақола202410 иқтибос
    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

    Мақола202410 иқтибос
    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

    Мақола20248 иқтибос
    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

    Боб20228 иқтибос
    ABI

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

    Seyed Masoud Rezaeijo, Ali Harimi, Mohammad R. Salmanpour

    Боб20237 иқтибос
    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

    Мақола20235 иқтибос
    ABI

  7. Colorectal cancer: a review

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

    Шарҳ мақола20173 иқтибос
    ABI

  8. A Review of Deep Transfer Learning and Recent Advancements

    Mohammadreza Iman, Hamid R. Arabnia, Khaled Rasheed

    Шарҳ мақола20232 иқтибос
    ABI

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