Mr Martin Metz

Research Staff

 

Mr Martin Metz

Project

 

Techniques for Classifying Pigmented Skin Lesions

Director of Studies

 

Professor Emmanuel Ifeachor

Supervisors

 

Mr John Curnow and Prof. W. D. Groch [Link]

Email

 

m.metz@fbi.fh-darmstadt.de

Research Project

The aim of the project is to develop and thoroughly evaluate robust, automated techniques for classifying pigmented skin lesions to improve the diagnosis of skin cancer in primary care centers. This project forms part of a 5 year research initiative to improve skin cancer detection and care. A key aim of the research initiative is to develop an interactive support tool to assist primary care clinicians in the accurate screening of pigmented skin lesions to improve early detection, reduce unnecessary referrals to hospitals and reduce the number of missed malignant melanomas.

Publications

Classifiying pigmented skin lesions utilizing non-parametric and artificial intelligence techniques 
M. Metz, E. Ifeachor, J. Curnow, P. Kersey, W. D. Groch 
2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2005), Lisbon, Portugal  
 

Computerunterstützte Klassifikation von pigmentierten Hautläsionen Berandungs- und Merkmalsextraktion aus makroskopischen Farbbilddaten
M. Metz, E. Ifeachor, W.-D. Groch, J. Curnow, P. Kersey,
Proceedings of the 4th GI-Informatiktage 2002, Bad Schussenried, Germany, Nov 2002, Bad Schussenried, Germany, Nov 2002, Gesellschaft für Informatik e.V., Konradin Verlag 
 

Computer aided lesion border detection applied to macroscopic images
M. Metz, W.-D. Groch, J. Curnow, E. Ifeachor, P. Kersey, 
Proceedings of the 4th International Conference on Neural Networks and Expert Systems in Medicine and Healthcare - NNESMED 2001, 20-22 June 2001, Milos Island, Greece.
 

Misc.

Personal home page

2006 - SPMC / SoCCE / UoP