In silico dermoscopy with detailed subsurface scattering
Loading...
Permanent Link
Author/Creator
Author/Creator ORCID
Date
2019
Type of Work
Department
Program
Citation of Original Publication
B. Seipp, M. Olano, A. Badano, In silico dermoscopy with detailed subsurface scattering, 2019,https://conferences.eg.org/vcbm2019/wp-content/uploads/sites/2/2019/09/07.pdf
Rights
This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
Released under the Open Data Commons Attribution License (ODC-BY 1.0). You are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data as long as you attribute any public use of the data, or works produced from the data, in the manner specified in the license. Read the full ODC-BY 1.0 license text for the exact terms that apply.
Released under the Open Data Commons Attribution License (ODC-BY 1.0). You are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data as long as you attribute any public use of the data, or works produced from the data, in the manner specified in the license. Read the full ODC-BY 1.0 license text for the exact terms that apply.
Abstract
We describe an approach to modeling dermoscopy, the imaging modality for the examination of skin lesions, using accurate
subsurface scattering in human skin. We make use of an open-source, path-tracing program with advanced physics models as
a rendering tool. Rendered scenes are based on biological details from human skin, such as layering, optical properties, and
lesion variability, as well as on the properties of the image acquisition device. Preliminary results suggest that this can be an
efficient and effective way to generate arbitrarily large datasets of fully featured images with known classification labels.