| Autores |
|---|
| González Patiño David |
| Villuendas Rey Yenny |
| Argüelles Cruz Amadeo José |
| Título | Mammogram image segmentation using bioinspired novel bat swarm clusternig |
| Tipo | Revista |
| Sub-tipo | Indefinido |
| Descripción | Research in Computing Science |
| Resumen | Segmentation is one of the main tasks related to breast cancer classification. Automatic and semiautomatic algorithms have been proposed lately, and in this paper, a new method to segment mammography images is proposed using novel bat algorithm (NBA) and unsupervised metric measures as objective function. Results showed a useful method to segment mammographies using bioinspired algorithms based on bat optimization. |
| Observaciones | |
| Lugar | Ciudad de México |
| País | Mexico |
| No. de páginas | 107-114 |
| Vol. / Cap. | v. 118 |
| Inicio | 2016-10-28 |
| Fin | |
| ISBN/ISSN |