Semi-Supervised Segmentation of Ultrasound Images Based on Patch Representation and Continuous Min Cut

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the segmentation. However, such priors tend to l...

Descripción completa

Detalles Bibliográficos
Autores principales: Ciurte, Anca, Bresson, Xavier, Cuisenaire, Olivier, Houhou, Nawal, Nedevschi, Sergiu, Thiran, Jean-Philippe, Cuadra, Meritxell Bach
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091944/
https://www.ncbi.nlm.nih.gov/pubmed/25010530
http://dx.doi.org/10.1371/journal.pone.0100972

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091944/
https://www.ncbi.nlm.nih.gov/pubmed/25010530
http://dx.doi.org/10.1371/journal.pone.0100972

Ejemplares similares