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14 ta ish

Ish: Enhancing Breast Cancer Diagnosis Through Segmentation-Driven Generative Adversarial Networks for Synthetic Mammogram Generation

  1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

    Freddie Bray, Jacques Ferlay, Isabelle Soerjomataram +3

    Maqola201834 iqtibos
    ABI

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

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Bob201532 iqtibos
    ABI

  3. Dermatologist-level classification of skin cancer with deep neural networks

    Andre Esteva, Brett Kuprel, Roberto A. Novoa +4

    Maqola201712 iqtibos
    ABI

  4. Sarlavhasiz

    Boshqa7 iqtibos
    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

    Maqola20164 iqtibos
    ABI

  6. A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

    Adam Yala, Constance D. Lehman, Tal Schuster +2

    Maqola20192 iqtibos
    ABI

  7. Unsupervised Representation Learning with Deep Convolutional Generative\n Adversarial Networks

    Alec Radford, Luke Metz, Soumith Chintala

    Preprint20152 iqtibos
    ABI

  8. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  9. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  10. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  11. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  12. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  13. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  14. Sarlavhasiz

    Boshqa1 iqtibos
    ABI