Cargando…
Evaluation of clinical applicability of automated liver parenchyma segmentation of multi-center magnetic resonance images
PURPOSE: Automated algorithms for liver parenchyma segmentation can be used to create patient-specific models (PSM) that assist clinicians in surgery planning. In this work, we analyze the clinical applicability of automated deep learning methods together with level set post-processing for liver seg...
Autores principales: | Nainamalai, Varatharajan, Prasad, Pravda Jith Ray, Pelanis, Egidijus, Edwin, Bjørn, Albregtsen, Fritz, Elle, Ole Jakob, P. Kumar, Rahul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640352/ https://www.ncbi.nlm.nih.gov/pubmed/36386761 http://dx.doi.org/10.1016/j.ejro.2022.100448 |
Ejemplares similares
-
Laparoscopic Parenchyma-sparing Liver Resection for Colorectal Metastases
por: Aghayan, Davit L., et al.
Publicado: (2017) -
Laparoscopic parenchyma-sparing liver resection for large (≥ 50 mm) colorectal metastases
por: Aghayan, Davit L., et al.
Publicado: (2022) -
The effect of intraoperative imaging on surgical navigation for laparoscopic liver resection surgery
por: Teatini, Andrea, et al.
Publicado: (2019) -
Process model analysis of parenchyma sparing laparoscopic liver surgery to recognize surgical steps and predict impact of new technologies
por: Gholinejad, Maryam, et al.
Publicado: (2023) -
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation
por: Pérez de Frutos, Javier, et al.
Publicado: (2023)