Image factory: A method for synthesizing novel CT images with anatomical guidance.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: Deep learning in medical applications is limited due to the low availability of large labeled, annotated, or segmented training datasets. With the insufficient data available for model training comes the inability of these networks to learn the fine nuances of the space of possible images in a given medical domain, leading to the possible suppression of important diagnostic features hence making these deep learning systems suboptimal in their performance and vulnerable to adversarialĀ attacks.

Authors

  • Arjun Krishna
    Computer Science Department, Stony Brook University, Stony Brook, New York, USA.
  • Shanmukha Yenneti
    Computer Science Department, Stony Brook University, Stony Brook, New York, USA.
  • Ge Wang
    Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, New York, USA.
  • Klaus Mueller