Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Pedro A. A. Assuncao"'
Autor:
Pedro M. M. Pereira, Lucas A. Thomaz, Luis M. N. Tavora, Pedro A. A. Assuncao, Rui Fonseca-Pinto, Rui Pedro Paiva, Sergio M. M. Faria
Publikováno v:
IEEE Access, Vol 10, Pp 76296-76309 (2022)
This work presents a contribution to advance current solutions for the problem of melanoma detection based on deep learning (DL) approaches. This is an active research field, which aims to aid on the detection and classification of melanoma (the most
Externí odkaz:
https://doaj.org/article/a1778f30c069424ea7f59a35f314b6a7
Autor:
Joao O. Parracho, Lucas A. Thomaz, Luis M. N. Tavora, Pedro A. A. Assuncao, Sergio M. M. Faria
Publikováno v:
2022 10th European Workshop on Visual Information Processing (EUVIP).
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Publikováno v:
Computational Intelligence Techniques for Green Smart Cities ISBN: 9783030964283
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b0fe00b41f2156a944ee9d3a6d1ad00
https://doi.org/10.1007/978-3-030-96429-0_17
https://doi.org/10.1007/978-3-030-96429-0_17
Autor:
Pedro M. M. Pereira, Lucas A. Thomaz, Luis M. N. Tavora, Pedro A. A. Assuncao, Rui Fonseca-Pinto, Rui Pedro Paiva, Sergio M. M. Faria
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Machine learning algorithms are progressively assuming important roles as computational tools to support clinical diagnosis, namely in the classification of pigmented skin lesions using RGB images. Most current classification methods rely on common 2