Evaluation of automated prostate segmentation: The complex issue of the optimal number of expert segmentations

Diagn Interv Imaging. 2024 Feb;105(2):45-46. doi: 10.1016/j.diii.2023.10.002. Epub 2023 Oct 19.

Author

Olivier Rouvière¹

Affiliation

¹ Hospices Civils de Lyon, Department of Radiology, Hôpital Edouard Herriot, Lyon 69437, France; Université de Lyon, Lyon, France; Université Lyon 1, Lyon, France; Faculté de Médecine Lyon Est, Lyon 69003, France; LabTau, INSERM U1032, Lyon 69003, France. Electronic address: olivier.rouviere@netcourrier.com.

PMID: 37863708
DOI: 10.1016/j.diii.2023.10.002

No abstract available

Keywords: Artificial intelligence; Inter-reader variability; Magnetic resonance imaging; Prostate segmentation.

Publication types

Editorial

MeSH terms

Algorithms
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging*
Male
Prostate* / diagnostic imaging
Reproducibility of Results