Now showing items 1-2 of 2

    • AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray 

      Agu, Nkechinyere; Wu, Joy T.; Chao, Hanqing; Lourentzou, Ismini; Sharma, Arjun; Moradi, Mehdi; Yan, Pingkun; Hendler, James A. (Springer-Verlag, Berlin, Heidelberg, 2021-09-27)
      Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision. However, most existing deep learning models only look at the entire X-ray image for classification, ...
    • Chest ImaGenome Dataset for Clinical Reasoning 

      Wu, Joy T.; Agu, Nkechinyere; Lourentzou, Ismini; Sharma, Arjun; Paguio, Joseph A.; Yao, Jasper S.; Dee, Edward C.; Mitchell, William; Kashyap, Satyananda; Giovannini, Andrea; Celi, Leo A.; Moradi, Mehdi (Neural Information Processing Systems, 2021)
      Despite the progress in automatic detection of radiologic findings from Chest X-Ray (CXR) images in recent years, a quantitative evaluation of the explainability of these models is hampered by the lack of locally labeled ...