| Autores |
|---|
| Sossa Azuela Juan Humberto |
| Título | Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection |
| Tipo | Revista |
| Sub-tipo | JCR |
| Descripción | BMC Medical Informatics and Decision Making |
| Resumen | The performance of Computer Aided Diagnosis Systems for early melanoma detection relies mainly on quantitative evaluation of the geometric features corresponding to skin lesions. In these systems, diagnosis is carried out by analyzing four geometric characteristics: asymmetry (A), border (B), color (C) and dimension (D). The main objective of this study is to establish an algorithm for the measurement of asymmetry in biological entities. |
| Observaciones | DOI 10.1186 / s12911-018-0641-7 |
| Lugar | London |
| País | Reino Unido |
| No. de páginas | Article number 50 |
| Vol. / Cap. | v. 18 |
| Inicio | 2018-06-27 |
| Fin | |
| ISBN/ISSN |