Breast Tumor Characterization Using [(18)F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics

SIMPLE SUMMARY: Breast cancer is the second most common diagnosed malignancy in women worldwide. In this study, we examine the feasibility of breast tumor characterization based on [(18)F]FDG-PET/CT images using machine learning (ML) approaches in combination with data-preprocessing techniques. ML p...

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Detalles Bibliográficos
Autores principales: Krajnc, Denis, Papp, Laszlo, Nakuz, Thomas S., Magometschnigg, Heinrich F., Grahovac, Marko, Spielvogel, Clemens P., Ecsedi, Boglarka, Bago-Horvath, Zsuzsanna, Haug, Alexander, Karanikas, Georgios, Beyer, Thomas, Hacker, Marcus, Helbich, Thomas H., Pinker, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000810/
https://www.ncbi.nlm.nih.gov/pubmed/33809057
http://dx.doi.org/10.3390/cancers13061249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000810/
https://www.ncbi.nlm.nih.gov/pubmed/33809057
http://dx.doi.org/10.3390/cancers13061249

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