DERMCLASS DERMCLASS

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

This project falls under the following United Nations Strategic Development Goals (SDGs):

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

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