Cargando…
Breast Tissue 3D Segmentation and Visualization on MRI
Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algori...
Autores principales: | Song, Hong, Cui, Xiangfei, Sun, Feifei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3745868/ https://www.ncbi.nlm.nih.gov/pubmed/23983676 http://dx.doi.org/10.1155/2013/859746 |
Ejemplares similares
-
3D Shape-Weighted Level Set Method for Breast MRI 3D Tumor Segmentation
por: Wang, Chuin-Mu, et al.
Publicado: (2018) -
Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI
por: Rahimpour, Masoomeh, et al.
Publicado: (2022) -
Comparison of 3T and 7T MRI for the visualization of globus pallidus sub-segments
por: Maruyama, Shuki, et al.
Publicado: (2019) -
Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI
por: Samperna, Riccardo, et al.
Publicado: (2022) -
Automatic outer and inner breast tissue segmentation using multi-parametric MRI images of breast tumor patients
por: Thakran, Snekha, et al.
Publicado: (2018)