Radiomics Features Based on MRI-ADC Maps of Patients with Breast Cancer: Relationship with Lesion Size, Features Stability, and Model Accuracy

OBJECTIVE: To predict breast cancer molecular subtypes with neural networks based on magnetic resonance imaging apparent diffusion coefficient (ADC) radiomics and to detect the relation of lesion size with the stability of radiomics features. METHODS: This retrospective study included 221 consecutiv...

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Detalles Bibliográficos
Autores principales: BAYSAL, Begumhan, BAYSAL, Hakan, ESER, Mehmet Bilgin, DOGAN, Mahmut Bilal, ALIMOGLU, Orhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500326/
https://www.ncbi.nlm.nih.gov/pubmed/36128858
http://dx.doi.org/10.4274/MMJ.galenos.2022.70094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500326/
https://www.ncbi.nlm.nih.gov/pubmed/36128858
http://dx.doi.org/10.4274/MMJ.galenos.2022.70094

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