Work

Corrigendum to “Geometric evaluation of a deep learning method for segmentation of urinary OARs on magnetic resonance imaging for prostate cancer radiotherapy”. [Clin. Transl. Radiat. Oncol. 56 (2026) 101091]

Year: 2026

Type: erratum

Abstract: The authors regret that a wrong affiliation was validated in the initial manuscript. The correct affiliation is: Université Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000 Rennes, France. The correct affiliation has been replaced as above.

Source: Clinical and Translational Radiation Oncology

DOI: 10.1016/j.ctro.2025.101103

Authors: Jennifer Le Guévelou, Miguel Castro, Blanche Texier, Anaïs Barateau, Romane-Alizé Martin, Caroline Lafond, Igor Bessières, Jean-Claude Nunes, Renaud De Crevoisier, Oscar Acosta

Institutions: Inserm, Laboratoire Traitement du Signal et de l'Image, Université de Rennes, Centre Georges François Leclerc

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,430

OpenAlex ID: W7118072609

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