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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Dettagli Bibliografici
Pubblicato in:Cancers (Basel)
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2021
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8000810/
https://ncbi.nlm.nih.gov/pubmed/33809057
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers13061249
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