Deep learning based identification of bone scintigraphies containing metastatic bone disease foci

Deep learning based identification of bone scintigraphies containing metastatic bone disease foci

Abstract Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD, often requiring further investigations. Deep lea...

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Bibliographic Details
Main Authors: Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, Flore Belmans, Fabio Bottari, Turkey Refaee, Pierre Lovinfosse, Alexandre Jadoul, Celine Derwael, Fabian Hertel, Henry C. Woodruff, Helle D. Zacho, Sean Walsh, Wim Vos, Mariaelena Occhipinti, François-Xavier Hanin, Philippe Lambin, Felix M. Mottaghy, Roland Hustinx
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Cancer Imaging
Subjects:
Deep learning
Metastatic bone disease
Bone scintigraphy
Activation maps
Online Access:https://doi.org/10.1186/s40644-023-00524-3

Internet

https://doi.org/10.1186/s40644-023-00524-3

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