CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma: “Impact of surgical modality choice”

INTRODUCTION: Radiomics methods are used to analyze various medical images, including computed tomography (CT), magnetic resonance, and positron emission tomography to provide information regarding the diagnosis, patient outcome, tumor phenotype, and the gene-protein signatures of various diseases....

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Detalles Bibliográficos
Autores principales: Kayi Cangir, Ayten, Orhan, Kaan, Kahya, Yusuf, Özakıncı, Hilal, Kazak, Betül Bahar, Konuk Balcı, Buse Mine, Karasoy, Duru, Uzun, Çağlar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114494/
https://www.ncbi.nlm.nih.gov/pubmed/33975604
http://dx.doi.org/10.1186/s12957-021-02259-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114494/
https://www.ncbi.nlm.nih.gov/pubmed/33975604
http://dx.doi.org/10.1186/s12957-021-02259-6

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