Machine learning methods for in vivo skin parameter estimation

Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

Volumn , Issue , 2013, Pages 524-525

  Vyas, Saurabh ^a   Banerjee, Amit ^a   Burlina, Philippe ^a  

^a JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL PARAMETER; HYPERSPECTRAL; INVERSE MODELING; K-NEAREST NEIGHBORS (K-NN) ALGORITHMS; KUBELKA-MUNK THEORY; MACHINE LEARNING METHODS; PRESCREENING; SKIN CANCERS;

ESTIMATION; INVERSE PROBLEMS;

LEARNING SYSTEMS;

EID: 84889041941     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2013.6627860     Document Type: Conference Paper

References (3)

1. A. Nunez. A physical model of human skin and its application for search and rescue. PhD thesis, Air Force Institute of Technology, 2010.
2. S. Vyas, A. Banerjee, L. Garza, S. Kang, and P. Burlina. Hyperspectral signature analysis of skin parameters. In SPIE Medical Imaging, pages 867002-867002. International Society for Optics and Photonics, 2013.
3. S. Vyas, H. Van Nguyen, P. Burlina, A. Banerjee, L. Garza, and R. Chellappa. Computational modeling of skin reflectance spectra for biological parameter estimation through machine learning. In Proceedings of SPIE, volume 8390, page 83901B, 2012.