2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

INTRODUCTION: Management of patients with brain metastases is often based on manual lesion detection and segmentation by an expert reader. This is a time- and labor-intensive process, and to that end, this work proposes an end-to-end deep learning segmentation network for a varying number of availab...

Descripción completa

Detalles Bibliográficos
Autores principales: Ottesen, Jon André, Yi, Darvin, Tong, Elizabeth, Iv, Michael, Latysheva, Anna, Saxhaug, Cathrine, Jacobsen, Kari Dolven, Helland, Åslaug, Emblem, Kyrre Eeg, Rubin, Daniel L., Bjørnerud, Atle, Zaharchuk, Greg, Grøvik, Endre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889663/
https://www.ncbi.nlm.nih.gov/pubmed/36743439
http://dx.doi.org/10.3389/fninf.2022.1056068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889663/
https://www.ncbi.nlm.nih.gov/pubmed/36743439
http://dx.doi.org/10.3389/fninf.2022.1056068

Ejemplares similares