Measuring Efficiency of Semi-automated Brain Tumor Segmentation by Simulating User Interaction

Traditionally, radiologists have crudely quantified tumor extent by measuring the longest and shortest dimension by dragging a cursor between opposite boundary points across a single image rather than full segmentation of the volumetric extent. For algorithmic-based volumetric segmentation, the degr...

Descripción completa

Detalles Bibliográficos
Autores principales: Gering, David, Kotrotsou, Aikaterini, Young-Moxon, Brett, Miller, Neal, Avery, Aaron, Kohli, Lisa, Knapp, Haley, Hoffman, Jeffrey, Chylla, Roger, Peitzman, Linda, Mackie, Thomas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177174/
https://www.ncbi.nlm.nih.gov/pubmed/32372938
http://dx.doi.org/10.3389/fncom.2020.00032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177174/
https://www.ncbi.nlm.nih.gov/pubmed/32372938
http://dx.doi.org/10.3389/fncom.2020.00032

Ejemplares similares