SPARSE: Seed Point Auto‐Generation for Random Walks Segmentation Enhancement in medical inhomogeneous targets delineation of morphological MR and CT images

In medical image processing, robust segmentation of inhomogeneous targets is a challenging problem. Because of the complexity and diversity in medical images, the commonly used semiautomatic segmentation algorithms usually fail in the segmentation of inhomogeneous objects. In this study, we propose...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Haibin, Zhen, Xin, Gu, Xuejun, Yan, Hao, Cervino, Laura, Xiao, Yang, Zhou, Linghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690082/
https://www.ncbi.nlm.nih.gov/pubmed/26103201
http://dx.doi.org/10.1120/jacmp.v16i2.5324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690082/
https://www.ncbi.nlm.nih.gov/pubmed/26103201
http://dx.doi.org/10.1120/jacmp.v16i2.5324

Ejemplares similares