Paul Wighton

Research Interests

My research interests include improving existing methods of automated melanoma diagnosis.  I'm specifically interested in finding reliable ways to quantify the textural information in skin lesions.  I'm also interested in how humans perceive and interpret textural information.

Current Funding

CIHR Skin Reseach Training Center (SRTC) Scholarship
SFU Graduate Fellowship

Research Projects

Shape Matching using Ant Colony Optimization

Selected Publications

A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting

Wighton P. and Sadeghi M. and Lee T. and Atkins M., A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting, Medical Image Computing and Computer-Assisted Intervention--MICCAI 2009, pp. 1108--1115, Springer

Comparing Signal Detection Between Novel High-Luminance HDR and Standard Medical LCD Displays
December 31, 2007
Tisdall M.D. and Damberg G. and Wighton P. and Nguyen N. and Tan Y. and Atkins M.S. and Li H. and Seetzen H., Comparing Signal Detection Between Novel High-Luminance HDR and Standard Medical LCD Displays, J. Display Technol, 2008, Vol. 4, pp. 398--409

Dermascopic hair disocclusion using inpainting
December 31, 2007
Wighton P. and Lee T.K. and Atkins M.S., Dermascopic hair disocclusion using inpainting, Proc. of SPIE Vol, pp. 691427--1, 2008

Existence and perception of textural information predictive of atypical nevi-preliminary insights

Wighton P. and Lee T.K. and McLean D. and Lui H. and Stella M., Existence and perception of textural information predictive of atypical nevi-preliminary insights, Proc. of SPIE Vol, pp. 69170J--1

Contour Correspondence via Ant Colony Optimization
December 31, 2006
van Kaick O. and Hamarneh G. and Zhang H. and Wighton P., Contour Correspondence via Ant Colony Optimization, IEEE Computer Society, 2007