Creating and sharing knowledge for telecommunications

Project: DERMCLASS

Acronym: DERMCLASS
Main Objective: DERMCLASS – Feature extraction and artifact removal in dermoscopic images

Cofunded by QREN under MaisCentro Program: CENTRO-07-ST24-FEDER-002024
Reference: CENTRO-07-ST24-FEDER-002022
Funding: FEDER/QREN
Start Date: 01-01-2013
End Date: 01-12-2014
Team: Rui Manuel Fonseca Pinto
Groups: Multimedia Signal Processing – Lr
Partners:
Local Coordinator: Rui Manuel Fonseca Pinto
Associated Publications
  • 1Boock Chapters
  • R. Pinto, An Adaptive Approach for Skin Lesion Segmentation in Dermoscopy Images Using a Multiscale Local Normalization, Chapter in, Dynamics, Games and Science, Springer, Lisbon, 2015
  • 4Papers in Conferences
  • R. Pinto, A novel method for skin lesion segmentation using a multi-scale Local Normalization, Health, Leiria, Portugal, Vol. 48, pp. 292 - -, May, 2014 | BibTex
  • R. Pinto, Growth model in melanocytic skin lesions: a geometric look to skin pigmented lesions, Health, Leiria, Portugal, Vol. 48, pp. 288 - -, May, 2014 | BibTex
  • R. Pinto, Characterization and evaluation of skin lesions using symbolic dynamics, Health, Leiria, Portugal, Vol. 48, pp. 290 - -, May, 2014 | BibTex
  • R. Pinto, Image Empirical Mode Decomposition (IEMD) in dermoscopic images: artefact removal and lesion border detection, IASTED International Conf. on Signal Processing, Pattern Recognition and Applications - SPPRA, Innsbruck, Austria, Vol. -, pp. 341 - 355, February, 2010 | BibTex