@article{1375,
  author = {Mahmoud Al-Ayyoub, Ismail Hmeidi, Haya Rababah},
  title = {Detecting Hand Bone Fractures in X-Ray Images},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2013},
  volume = {4},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jmpt/fulltext/v4n3/1.pdf},
  abstract = {Computer aided diagnosis is a hot research field. Systems with the ability to provide a highly accurate diagnosis using little resources are highly desirable. One type of such systems depend on medical images to provide instantaneous diagnosis based on some discriminative features extracted from the images after processing them for noise removal and enhancement. In this paper, we propose a system to automatically detect fractures in hand bones using x-ray images. To the best of our knowledge, this problemhave never been addressed before. For a first attempt to tackle such a difficult problem, our system performed incredibly good with a 91.8% accuracy.},
}