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Last active January 11, 2018 22:42
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XRay-survey.md
  • Self-Transfer Learning for Fully Weakly Supervised Object Localization
    • by Sangheum Hwang and Hyo-Eun Kim (both from Lunit)
    • Arxiv:1602, MICCAI 2016
    • Datasets used: KIT(training), Shenzhen(test), MC set(test)
      • Localization annotation is obtained by human clinicians
  • LEARNING TO DIAGNOSE FROM SCRATCH BY EXPLOITING DEPENDENCIES AMONG LABELS [paper]
    • Li Yao, Eric Poblenz, Dmitry Dagunts, Ben Covington, Devon Bernard, Kevin Lyman
    • Arxiv:1710
  • Learning to detect chest radiographs containing lung nodules using visual attention networks [paper]
    • Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey, Robert Bakewell, Vicky Goh, Giovanni Montana
    • Arxiv:1712
  • Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks [paper]
    • Mohammad Tariqul Islam, Md Abdul Aowal, Ahmed Tahseen Minhaz, Khalid Ashraf
    • Arxiv:1705
  • Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer [paper]

Survey papers

  • A Survey on Deep Learning in Medical Image Analysis [paper]
    • Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A.W.M. van der Laak, Bram van Ginneken, Clara I. Sanchez
    • Arxiv:1702
  • Deep Learning Applications in Medical Image Analysis [paper]
    • Justin Ker, Lipo Wang, Jai Rao, and Tchoyoson Lim
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