Algorithms used in medical image segmentation for 3D printing and how to understand and quantify their performance.

Fogarasi, Magdalene; Coburn, James C; Ripley, Beth

Fogarasi, Magdalene; Coburn, James C; Ripley, Beth.

Afiliación

Fogarasi M; US Food and Drug Administration, Center for Device and Radiological Health, Silver Spring, MD, 20993, USA.
Coburn JC; US Food and Drug Administration, Office of the Chief Scientist, Silver Spring, MD, 20993, USA. James.Coburn@fda.hhs.gov.
Ripley B; Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA. James.Coburn@fda.hhs.gov.

3D Print Med ; 8(1): 18, 2022 Jun 24.

Article en En | MEDLINE | ID: mdl-35748984

Palabras clave

3D printing; Algorithms; Geometric variation; Hospital; Medical image segmentation; Patient-specific anatomical model; Point of care; Segmentation variation

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: 3D Print Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google