Automatic colposcopy video tissue classification using higher order entropy-based image registration

  title={Automatic colposcopy video tissue classification using higher order entropy-based image registration},
  author={Juan D. Garc{\'i}a-Arteaga and Jan Kybic and Wenjing Li},
  journal={Computers in biology and medicine},
  volume={41 10},
Colposcopy is a well-established method to detect and diagnose intraepithelial lesions and uterine cervical cancer in early stages. During the exam color and texture changes are induced by the application of a contrast agent (e.g.3-5% acetic acid solution or iodine). Our aim is to densely quantify the change in the acetowhite decay level for a sequence of images captured during a colposcopy exam to help the physician in his diagnosis providing new tools that overcome subjectivity and improve… CONTINUE READING


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