Adaptive multi-threshold based de-noising filter for medical image applications

  title={Adaptive multi-threshold based de-noising filter for medical image applications},
  author={A. Ramya and Deepak Murugan and G. Murugeswari and Nisha Joseph},
  journal={Int. J. Comput. Vis. Robotics},
Medical image processing is the emerging research area and many researchers contributed to medical image processing by proposing new techniques for medical image enhancement and abnormality detection. Interpretation of medical images is a challenging problem because of the unavoidable noise produced by the medical imaging devices and interference. In this work, a new framework is proposed for noise detection and reduction. This framework comprises two phases. First phase is the noise detection… 

An automated quantification method for the Agatston coronary artery calcium score on coronary computed tomography angiography.

Fully automated quantification of the Agatston CAC score on CCTA images is feasible and shows a high correlation with the reference standard, which has the potential to reduce the radiation dose and save time by eliminating the non-contrast cardiac CT stage.