Cargando…
A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI
SIMPLE SUMMARY: Prostate cancer represents a highly prevalent form of cancer worldwide, with timely detection and treatment being crucial for achieving a high survival rate. Manual segmentation, which is the process of manually identifying different anatomical structures or tissues within an image,...
Autores principales: | Rodrigues, Nuno M., Silva, Sara, Vanneschi, Leonardo, Papanikolaou, Nickolas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001231/ https://www.ncbi.nlm.nih.gov/pubmed/36900261 http://dx.doi.org/10.3390/cancers15051467 |
Ejemplares similares
-
Deep learning for the fully automated segmentation of the inner ear on MRI
por: Vaidyanathan, Akshayaa, et al.
Publicado: (2021) -
Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning
por: Korfiatis, Panagiotis, et al.
Publicado: (2016) -
Automated claustrum segmentation in human brain MRI using deep learning
por: Li, Hongwei, et al.
Publicado: (2021) -
Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness
por: Rodrigues, Ana, et al.
Publicado: (2023) -
Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI
por: Arnold, T. Campbell, et al.
Publicado: (2022)