A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC

OBJECTIVES: Optimizing a machine learning (ML) pipeline for radiomics analysis involves numerous choices in data set composition, preprocessing, and model selection. Objective identification of the optimal setup is complicated by correlated features, interdependency structures, and a multitude of av...

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Detalles Bibliográficos
Autores principales: Stüber, Anna Theresa, Coors, Stefan, Schachtner, Balthasar, Weber, Tobias, Rügamer, David, Bender, Andreas, Mittermeier, Andreas, Öcal, Osman, Seidensticker, Max, Ricke, Jens, Bischl, Bernd, Ingrisch, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662603/
https://www.ncbi.nlm.nih.gov/pubmed/37504498
http://dx.doi.org/10.1097/RLI.0000000000001009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662603/
https://www.ncbi.nlm.nih.gov/pubmed/37504498
http://dx.doi.org/10.1097/RLI.0000000000001009

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