Cargando…
Automatic Prostate Cancer Segmentation Using Kinetic Analysis in Dynamic Contrast-Enhanced MRI
BACKGROUND: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides functional information on the microcirculation in tissues by analyzing the enhancement kinetics which can be used as biomarkers for prostate lesions detection and characterization. OBJECTIVE: The purpose of this stud...
Autores principales: | Navaei Lavasani, S., Mostaar, A., Ashtiyani, M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Journal of Biomedical Physics and Engineering
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928300/ https://www.ncbi.nlm.nih.gov/pubmed/29732345 |
Ejemplares similares
-
Heart Rate Variability Classification using Support Vector Machine and Genetic Algorithm
por: Ashtiyani, M., et al.
Publicado: (2018) -
Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer
por: Xu, Zhan, et al.
Publicado: (2023) -
Discrimination of malignant and benign breast masses using automatic segmentation and features extracted from dynamic contrast-enhanced and diffusion-weighted MRI
por: Jiang, Xinhua, et al.
Publicado: (2018) -
Impact of contrast agent injection duration on dynamic contrast‐enhanced MRI quantification in prostate cancer
por: Klawer, Edzo M.E., et al.
Publicado: (2018) -
Automatic Segmentation of MRI Images in Dynamic Programming Mode
por: Marusina, Mariya Y, et al.
Publicado: (2018)