| Texto completo | |
| Autor(es): |
Cappabianco, Fabio A. M.
;
Ribeiro, Pedro F. O.
;
de Miranda, Paulo A. V.
;
Udupa, Jayaram K.
;
IEEE
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP); v. N/A, p. 5-pg., 2019-01-01. |
| Resumo | |
Evaluating medical imaging segmentation is a very complex problem. Several papers proposed methodologies and different metrics pursuing more reliable and unbiased procedures. In this paper, we propose a novel accuracy metric which is more balanced than the well known Dice and Jaccard coefficients. We also prove mathematically that the proposed metric generalizes Dice, Jaccard and the previously proposed Balanced Dice and Balanced Jaccard coefficients. Our experiments show that significant changes in brain tissue segmentation evaluation results are noticed as we applied our new metric. (AU) | |
| Processo FAPESP: | 16/21591-5 - Desenvolvimento de métodos robustos para delineamento de bordas em imagens utilizando grafos |
| Beneficiário: | Fábio Augusto Menocci Cappabianco |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |