SCANN - scotoma classification using artificial neural networks.

This project is granted by the fortüne program of the medical department at the University of Tübingen. We have a clinical research partner in the University Eye Hospital, Dept. II. Our aim is to develop a computer-assisted system for the classification and interpretation of visual field test results.

  1. In the first step we use different rasters and methods of investigation to develop an automatic assignment of visual field test results to known classes of scotoma.
  2. Furthermore we analyse the relation between certain neuroophthalmologic diseases and typical correlated visual field loss.
  3. We aim at developing a better analysis of time series than commonly used examiner-dependent procedures.
  4. We use evolutionary strategies to optimize the examination procedure.

Artificial neural networks implemented in the Stuttgart Neural Network Simulator (SNNS) are used in the areas

  • pattern recognition
  • time series analysis
  • and prognosis.

Such a system will help to improve the standardisation and quality of visual field interpretation. A large database of visual field data with high spatial resolution is provided by the department of Ophthalmology. This department has gained experience in perimetry for many years.

Classification of a visual field test result with neural network.

Publications

Jürgens C, Wiest S, Schiefer U, Burth R, Zell A.
SCANNmobile - Eine Java-basierte mobile Entscheidungshilfe für die Perimetrie. In: Jäckel (Ed.) Telemedizinführer Deutschland, Ober-Mörlen, Ausgabe 2003; 166-168.
 
Jürgens C, Wiest S, Schiefer U, Burth R, Zell A.
Automated classification of perimetric records on mobile wireless devices. European Journal of Medical Research 7(Suppl. 1): 36, 2002.
 
Jürgens C, Wiest S, Schiefer U, Burth R, Zell A.
Displaying perimetric records on mobile wireless devices. Graefe's Archive for Clinical and Experimental Ophthalmology 240(Suppl. 1), 2002. DOI 10.1007/s00417-002-9605-8.
 
Jürgens C, Wiest S, Schiefer U, Burth R, Zell A.
Darstellung perimetrischer Befunde auf mobilen Ausgabegeräten. Ophthalmologe 99(Suppl. 1): S105, 2002.
 
Jürgens C, Schiefer U, Burth R, Zell A.
Interpolation of Perimetric Test Grids using Neural Networks. To be published in: Perimetry Update 2002/2003. Presented at IPS 2002, June 26-30 2002, Stratford-upon-avon, England.
 
Jürgens C, Koch T, Burth R, Schiefer U, Zell A.
Scotoma classification with artificial neural networks. Graefe's Archive for Clinical and Experimental Ophthalmology 239(Suppl. 1), 2001. Abstract
 
Jürgens C, Koch T, Burth R, Schiefer U, Zell A.
Skotomklassifizierung mit künstlichen neuronalen Netzwerken. Ophthalmologe 98(Suppl. 1): S83, 2001. Abstract
 
Jürgens C, Koch T, Burth R, Schiefer U, Zell A.
Classification of perimetric results and reduction of number of test locations using artificial neural networks [ARVO Abstract]. Investigative Ophthalmology & Visual Science 2001;42(4):S846. Abstract nr 4539.