Pilot Study for the Assessment of the Best Radiomic Features for Bosniak Cyst Classification Using Phantom and Radiologist Inter-Observer Selection

Pilot Study for the Assessment of the Best Radiomic Features for Bosniak Cyst Classification Using Phantom and Radiologist Inter-Observer Selection

Since the Bosniak cysts classification is highly reader-dependent, automated tools based on radiomics could help in the diagnosis of the lesion. This study is an initial step in the search for radiomic features that may be good classifiers of benign–malignant Bosniak cysts in machine learning models...

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Bibliographic Details
Main Authors: María Aymerich, Mercedes Riveira-Martín, Alejandra García-Baizán, Mariña González-Pena, Carmen Sebastià, Antonio López-Medina, Alicia Mesa-Álvarez, Gonzalo Tardágila de la Fuente, Marta Méndez-Castrillón, Andrea Berbel-Rodríguez, Alejandra C. Matos-Ugas, Roberto Berenguer, Sebastià Sabater, Milagros Otero-García
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Diagnostics
Subjects:
radiomics
Bosniak cysts
CCR phantom
inter-observer correlation coefficient
classification
Online Access:https://www.mdpi.com/2075-4418/13/8/1384

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https://www.mdpi.com/2075-4418/13/8/1384

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