Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review

OBJECTIVES: Machine learning (ML) for medical imaging is emerging for several organs and image modalities. Our objectives were to provide clinicians with an overview of this field by answering the following questions: (1) How is ML applied in liver computed tomography (CT) imaging? (2) How well do M...

Descripción completa

Detalles Bibliográficos
Autores principales: Radiya, Keyur, Joakimsen, Henrik Lykke, Mikalsen, Karl Øyvind, Aahlin, Eirik Kjus, Lindsetmo, Rolv-Ole, Mortensen, Kim Erlend
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511359/
https://www.ncbi.nlm.nih.gov/pubmed/37171491
http://dx.doi.org/10.1007/s00330-023-09609-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511359/
https://www.ncbi.nlm.nih.gov/pubmed/37171491
http://dx.doi.org/10.1007/s00330-023-09609-w

Ejemplares similares