title: Evaluation of the influence of image compression to the automatic discrimination of histological images of skin lesions.
abstract: OBJECTIVE
  Telemedicine offers the possibility to get the opinion of an expert within a short time. To reduce data transfer via a network image compression is recommended. The disadvantage of error-free compression is a low compression rate. On the other hand an increased compression rate affects the information content of the image. In this study we evaluated the influence of the compression rate on the automatic discrimination of histological skin lesions in dermatopathology.
  
  
  METHODS
  To be independent from subjective reviewing by a dermatopathologist we used tissue counter analysis (TCA) for automatic discrimination of skin tissue. TCA is based on the partition of the image into square elements where the features are calculated out of each square element. 40 cases of benign common nevi and 40 cases of malignant melanoma were used as the study set. First TCA was applied to the uncompressed images to check the discrimination power of the method. Then in the next steps the method was applied to the images with successively higher compression rates. For image compression the wavelet compression was used, where the compression rate was determined by neglecting wavelet coefficients with a magnitude below a given threshold. The number of remaining wavelet coefficients was used as criteria for the compression rate.
  
  
  RESULTS
  This study shows that TCA allows automated discrimination even at higher compression rates where only 6-18% of the wavelet coefficients are used for image reconstruction. The recognition rate at higher compression is better for malignant melanoma than for benign common nevi.
  
  
  CONCLUSIONS
  The power of automated discrimination is not essential affected by wavelet image compression.
authors.affiliation: Institute for Medical Informatics, Statistics and Documentation, University of Graz, Engelgasse 13, 8010 Graz, Austria. Marco.wiltgen@uni-graz.at
authors.forename: M
authors.initials: M
authors.lastname: Wiltgen
authors.forename: A
authors.initials: A
authors.lastname: Gerger
authors.forename: C
authors.initials: C
authors.lastname: Wagner
authors.forename: P
authors.initials: P
authors.lastname: Bergthaler
authors.forename: J
authors.initials: J
authors.lastname: Smolle
mesh_terms: D001317:Austria; D003195:Computer Communication Networks; D044962:Data Compression; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D019114:Remote Consultation; D012871:Skin Diseases / Q000175:diagnosis* / Q000473:pathology