Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function

There is a growing demand for fast, accurate computation of clinical markers to improve renal function and anatomy assessment with a single study. However, conventional techniques have limitations leading to overestimations of kidney function or failure to provide sufficient spatial resolution to ta...

Descripción completa

Detalles Bibliográficos
Autores principales: Asaturyan, Hykoush, Villarini, Barbara, Sarao, Karen, Chow, Jeanne S., Afacan, Onur, Kurugol, Sila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659486/
https://www.ncbi.nlm.nih.gov/pubmed/34883946
http://dx.doi.org/10.3390/s21237942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659486/
https://www.ncbi.nlm.nih.gov/pubmed/34883946
http://dx.doi.org/10.3390/s21237942

Ejemplares similares