TY - GEN
T1 - Machine learning methods for in vivo skin parameter estimation
AU - Vyas, Saurabh
AU - Banerjee, Amit
AU - Burlina, Philippe
PY - 2013/12/9
Y1 - 2013/12/9
N2 - The WHO estimates three million new cases of skin cancer each year. Therefore, there exists a need for prescreening tools that can estimate the biological parameters of human skin, as they can help detect cancers before metastasis. In this paper, we present a novel inverse modeling technique based on Kubelka-Munk theory and machine learning to estimate biological skin parameters from in vivo hyperspec-tral imaging. We use the k-nearest neighbors (k-NN) algorithm in order to estimate skin parameters from their hy-perspectral signatures. We test our methods on 241 hyper-spectral signatures obtained from both genders and three ethnicities, and find encouraging results.
AB - The WHO estimates three million new cases of skin cancer each year. Therefore, there exists a need for prescreening tools that can estimate the biological parameters of human skin, as they can help detect cancers before metastasis. In this paper, we present a novel inverse modeling technique based on Kubelka-Munk theory and machine learning to estimate biological skin parameters from in vivo hyperspec-tral imaging. We use the k-nearest neighbors (k-NN) algorithm in order to estimate skin parameters from their hy-perspectral signatures. We test our methods on 241 hyper-spectral signatures obtained from both genders and three ethnicities, and find encouraging results.
UR - http://www.scopus.com/inward/record.url?scp=84889041941&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84889041941&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2013.6627860
DO - 10.1109/CBMS.2013.6627860
M3 - Conference contribution
AN - SCOPUS:84889041941
SN - 9781479910533
T3 - Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
SP - 524
EP - 525
BT - Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
T2 - 26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013
Y2 - 20 June 2013 through 22 June 2013
ER -