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Ушбу иш иқтибос қилган ишлар

46 та иш

Иш: Bridging the gap between Natural and Medical Images through Deep Colorization

  1. Deep Residual Learning for Image Recognition

    Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

    Мақола201661 иқтибос
    ABI

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

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Боб201532 иқтибос
    ABI

  3. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

    Yoav Benjamini, Yosef Hochberg

    Мақола199520 иқтибос
    ABI

  4. A survey on deep learning in medical image analysis

    Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi +6

    Шарҳ мақола201716 иқтибос
    ABI

  5. Densely Connected Convolutional Networks

    Gao Huang, Zhuang Liu, Laurens van der Maaten +1

    Препринт201713 иқтибос
    ABI

  6. ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky, Jia Deng, Hao Su +9

    Мақола201511 иқтибос
    ABI

  7. Сарлавҳасиз

    Бошқа7 иқтибос
    ABI

  8. Сарлавҳасиз

    Бошқа6 иқтибос
    ABI

  9. Mastering the game of Go with deep neural networks and tree search

    David Silver, Aja Huang, Chris J. Maddison +17

    Мақола20165 иқтибос
    ABI

  10. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI

  11. 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

  12. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

    Nima Tajbakhsh, J. Shin, Suryakanth Gurudu +4

    Мақола20163 иқтибос
    ABI

  13. Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets

    Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski +3

    Мақола20183 иқтибос
    ABI

  14. Colorful Image Colorization

    Richard Zhang, Phillip Isola, Alexei A. Efros

    Боб20163 иқтибос
    ABI

  15. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

    Jeremy Irvin, Pranav Rajpurkar, Michael Ko +17

    Мақола20192 иқтибос
    ABI

  16. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  17. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  18. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  19. Hyperspectral Remote Sensing Data Analysis and Future Challenges

    José M. Bioucas‐Dias, Antonio Plaza, Gustau Camps‐Valls +3

    Мақола20132 иқтибос
    ABI

  20. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

    Wenzhe Shi, José Caballero, Ferenc Huszár +5

    Мақола20162 иқтибос
    ABI

  21. MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

    Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul +11

    Препринт20172 иқтибос
    ABI

  22. ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

    Xiaosong Wang, Yifan Peng, Le Lü +3

    Боб20192 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI