ROI and neural linear network technique applied to help in the analysis of skin cancer using vision

Martin Gerardo Vazquez Rueda; Teresa Cervantes Medrano; Luis Alberto Vazquez Rueda

doi:10.1117/12.458710

11 March 2002 ROI and neural linear network technique applied to help in the analysis of skin cancer using vision

Martin Gerardo Vazquez Rueda, Teresa Cervantes Medrano, Luis Alberto Vazquez Rueda

Proceedings Volume 4739, Applications and Science of Computational Intelligence V; (2002) https://doi.org/10.1117/12.458710
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

This paper presents the preliminary results, for a technique that help in the analysis of skin cancer using a vision system. The technique, start with the learning system of the ROI in the image, this ROI are analyzed to extract the characteristics of image. Global population is created with the extracted data, for reference and comparison. For the new image, a neural linear system, were used to identify the ROI possible that may be skin cancer. The system is able to estimate and learn for the new ROI to improve the results. The system use only the system vision to acquire the image and illumination control to improve the image capture, the results are compared with other skin cancer image analyzed and other images.

Citation Download Citation

Martin Gerardo Vazquez Rueda, Teresa Cervantes Medrano, and Luis Alberto Vazquez Rueda "ROI and neural linear network technique applied to help in the analysis of skin cancer using vision", Proc. SPIE 4739, Applications and Science of Computational Intelligence V, (11 March 2002); https://doi.org/10.1117/12.458710

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