Computer-aided diagnosis from weak supervision: A benchmarking study

@article{Kandemir2015ComputeraidedDF,
  title={Computer-aided diagnosis from weak supervision: A benchmarking study},
  author={Melih Kandemir and Fred A. Hamprecht},
  journal={Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
  year={2015},
  volume={42},
  pages={44-50}
}
Supervised machine learning is a powerful tool frequently used in computer-aided diagnosis (CAD) applications. The bottleneck of this technique is its demand for fine grained expert annotations, which are tedious for medical image analysis applications. Furthermore, information is typically localized in diagnostic images, which makes representation of an entire image by a single feature set problematic. The multiple instance learning framework serves as a remedy to these two problems by… CONTINUE READING