A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
December 2011
in “
Skin Research and Technology
”
hair removal dermoscopy images melanoma diagnosis matched filtering first derivative of Gaussian morphological edge-based techniques fast marching inpainting diagnostic accuracy texture-quality measure lesion texture computer-aided detection CAD systems Gaussian filter edge-based techniques inpainting
Studysummary In this study, the researchers reported that their novel algorithm for hair restoration in dermoscopy images achieved high accuracy and texture preservation, outperforming other techniques in diagnostic accuracy and texture quality measures.
Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
