Cargando…
Generalization vs. Specificity: In Which Cases Should a Clinic Train its Own Segmentation Models?
As artificial intelligence for image segmentation becomes increasingly available, the question whether these solutions generalize between different hospitals and geographies arises. The present study addresses this question by comparing multi-institutional models to site-specific models. Using CT da...
Autores principales: | Schreier, Jan, Attanasi, Francesca, Laaksonen, Hannu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241256/ https://www.ncbi.nlm.nih.gov/pubmed/32477941 http://dx.doi.org/10.3389/fonc.2020.00675 |
Ejemplares similares
-
A Full-Image Deep Segmenter for CT Images in Breast Cancer Radiotherapy Treatment
por: Schreier, Jan, et al.
Publicado: (2019) -
Medical Oncology or Surgical Oncology: Which Branch Should Be Started in Esophageal Cancer Diagnostic Evaluation?
por: Yıldırım, Özgen Ahmet, et al.
Publicado: (2022) -
Endoscopic vs Robotic Thyroidectomy: Which is Better?
por: Lang, Brian Hung-Hin, et al.
Publicado: (2011) -
Should benefit–risk assessment have its own drug “label”?
por: Braithwaite, R Scott
Publicado: (2011) -
Should Radiology IT be Owned by the Chief Information Officer?
por: Channin, David S., et al.
Publicado: (2009)