Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors

OBJECTIVES: To develop and validate machine learning models to distinguish between benign and malignant bone lesions and compare the performance to radiologists. METHODS: In 880 patients (age 33.1 ± 19.4 years, 395 women) diagnosed with malignant (n = 213, 24.2%) or benign (n = 667, 75.8%) primary b...

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Detalles Bibliográficos
Autores principales: von Schacky, Claudio E., Wilhelm, Nikolas J., Schäfer, Valerie S., Leonhardt, Yannik, Jung, Matthias, Jungmann, Pia M., Russe, Maximilian F., Foreman, Sarah C., Gassert, Felix G., Gassert, Florian T., Schwaiger, Benedikt J., Mogler, Carolin, Knebel, Carolin, von Eisenhart-Rothe, Ruediger, Makowski, Marcus R., Woertler, Klaus, Burgkart, Rainer, Gersing, Alexandra S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Musculoskeletal
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381439/
https://www.ncbi.nlm.nih.gov/pubmed/35396665
http://dx.doi.org/10.1007/s00330-022-08764-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381439/
https://www.ncbi.nlm.nih.gov/pubmed/35396665
http://dx.doi.org/10.1007/s00330-022-08764-w

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