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14 та иш

Иш: Brain-Tumor Segmentation Using U-Net Neural Network Architecture

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Боб201532 иқтибос
    ABI

  2. Сарлавҳасиз

    Бошқа9 иқтибос
    ABI

  3. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

    Kenneth Clark, Bruce A. Vendt, Kirk Smith +9

    Мақола20138 иқтибос
    ABI

  4. UNet++: A Nested U-Net Architecture for Medical Image Segmentation

    Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1

    Мақола20184 иқтибос
    ABI

  5. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

    Hoo-Chang Shin, Holger R. Roth, Mingchen Gao +6

    Мақола20164 иқтибос
    ABI

  6. Brain tumor segmentation with Deep Neural Networks

    Mohammad Havaei, Axel Davy, David Warde-Farley +6

    Мақола20163 иқтибос
    ABI

  7. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

    Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp +2

    Боб20163 иқтибос
    ABI

  8. Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey

    Zain Ul Abıdın, Rizwan Ali Naqvi, Amir Haider +3

    Шарҳ мақола20243 иқтибос
    ABI

  9. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  10. CE-Net: Context Encoder Network for 2D Medical Image Segmentation

    Zaiwang Gu, Jun Cheng, Huazhu Fu +6

    Мақола20192 иқтибос
    ABI

  11. MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

    Nabil Ibtehaz, M. Sohel Rahman

    Мақола20192 иқтибос
    ABI

  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  13. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  14. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI