@TechReport{TR115,
  author =	 "Sebastian Zambanini",
  title =	 "Automatic Assessment of Lesion Development in Hemangioma Follow-Up Images",
  institution =	 "PRIP, TU Wien",
  number =	 "PRIP-TR-115",
  year =	 "2007",
  url =		 "https://www.prip.tuwien.ac.at/pripfiles/trs/tr115.pdf",
  abstract =	 "This thesis presents an automatic method for the assessment of the development of cutaneous hemangiomas in digital images. The overall method provides two measurements on photographs taken during follow-up examinations: (1) the current skin area affected by the lesion and (2) the percentage/area of the hemangioma showing a regression, a so-called graying. For both analyses a pixel-wise classification scheme is applied to the images. The actual area measurement is accomplished through an image scale computation by means of a ruler attached to skin and visible in the images. Image registration is included in the assessment procedure to align follow-up images providing a direct comparison of color values necessary for a reliable detection of regressions. For image registration a robust feature-based method is presented that is able to deal with changing hemangioma appearances during follow-up. Experimental results are reported for the individual algorithms presented as well as for the whole procedure applied to follow-up images. In general, the proposed procedure working on follow-up images is expected to provide a more accurate and objective evaluation of the course of disease than the current clinical practice of manual measurement during an examination.",
}