T M Jørgensen

Summary

Country: Denmark

Publications

  1. ncbi Classification of handwritten digits using a RAM neural net architecture
    T M Jørgensen
    Optics and Fluid Dynamics Department, Risø National Laboratory, Roskilde, Denmark
    Int J Neural Syst 8:17-25. 1997
  2. ncbi Enhancing the signal-to-noise ratio in ophthalmic optical coherence tomography by image registration--method and clinical examples
    Thomas Martini Jørgensen
    Technical University of Denmark, Riso National Laboratory, Optics and Plasma Research Department, Roskilde, Denmark
    J Biomed Opt 12:041208. 2007
  3. ncbi Machine-learning classification of non-melanoma skin cancers from image features obtained by optical coherence tomography
    Thomas Martini Jørgensen
    Department of Photonics Engineering, Technical University of Denmark, Roskilde, Denmark
    Skin Res Technol 14:364-9. 2008

Detail Information

Publications3

  1. ncbi Classification of handwritten digits using a RAM neural net architecture
    T M Jørgensen
    Optics and Fluid Dynamics Department, Risø National Laboratory, Roskilde, Denmark
    Int J Neural Syst 8:17-25. 1997
    ..Furthermore, a technique that introduces negative weights into the RAM net is reported. The results obtained on the task of recognizing handwritten digits is comparable with the best performances reported in the literature...
  2. ncbi Enhancing the signal-to-noise ratio in ophthalmic optical coherence tomography by image registration--method and clinical examples
    Thomas Martini Jørgensen
    Technical University of Denmark, Riso National Laboratory, Optics and Plasma Research Department, Roskilde, Denmark
    J Biomed Opt 12:041208. 2007
    ..The method is currently successfully being applied by medical doctors in a number of specific retinal case studies...
  3. ncbi Machine-learning classification of non-melanoma skin cancers from image features obtained by optical coherence tomography
    Thomas Martini Jørgensen
    Department of Photonics Engineering, Technical University of Denmark, Roskilde, Denmark
    Skin Res Technol 14:364-9. 2008
    ..Currently, individual diagnostic features do not appear sufficiently discriminatory. The combined use of several features may however be useful...