Prediction of malignancy upgrade rate in high-risk breast lesions using an artificial intelligence model: a retrospective study

PURPOSE: High-risk breast lesions (HRLs) are associated with future risk of breast cancer. Considering the pathological subtypes, malignancy upgrade rate differs according to each subtype and depends on various factors such as clinical and radiological features and biopsy method. Using artificial in...

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Detalles Bibliográficos
Autores principales: Aslan, Özge, Oktay, Ayşenur, Katuk, Başak, Erdur, Riza Cenk, Dikenelli, Oğuz, Yeniay, Levent, Zekioğlu, Osman, Özbek, Süha Süreyya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2023
Materias:
Breast Imaging - Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679697/
https://www.ncbi.nlm.nih.gov/pubmed/36987868
http://dx.doi.org/10.5152/dir.2022.211047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679697/
https://www.ncbi.nlm.nih.gov/pubmed/36987868
http://dx.doi.org/10.5152/dir.2022.211047

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