Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC

Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC

Abstract Background Lesion/tissue segmentation on digital medical images enables biomarker extraction, image-guided therapy delivery, treatment response measurement, and training/validation for developing artificial intelligence algorithms and workflows. To ensure data reproducibility, criteria for...

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Bibliographic Details
Main Authors: Nandita M. deSouza, Aad van der Lugt, Christophe M. Deroose, Angel Alberich-Bayarri, Luc Bidaut, Laure Fournier, Lena Costaridou, Daniela E. Oprea-Lager, Elmar Kotter, Marion Smits, Marius E. Mayerhoefer, Ronald Boellaard, Anna Caroli, Lioe-Fee de Geus-Oei, Wolfgang G. Kunz, Edwin H. Oei, Frederic Lecouvet, Manuela Franca, Christian Loewe, Egesta Lopci, Caroline Caramella, Anders Persson, Xavier Golay, Marc Dewey, James P. B. O’Connor, Pim deGraaf, Sergios Gatidis, Gudrun Zahlmann, European Society of Radiology, European Organisation for Research and Treatment of Cancer
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Insights into Imaging
Subjects:
Segmentation and standardisation
mDelphi
Region of interest
Organ-specific
Modality-specific
Online Access:https://doi.org/10.1186/s13244-022-01287-4

Internet

https://doi.org/10.1186/s13244-022-01287-4

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