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Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study

Abstract Background The goal is to use three different machine learning models to predict the recurrence of breast cancer across a very heterogeneous sample of patients with varying disease kinds and stages. Methods A heterogeneous group of patients with varying cancer kinds and stages, including bo...

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Principais autores: Saadia Azeroual, Fatima-ezzahraa Ben-Bouazza, Amine Naqi, Rajaa Sebihi
Format: Artigo
Sprog:Inglês
Udgivet: SpringerOpen 2024-06-01
Serier:Journal of the Egyptian National Cancer Institute
Fag:
Machine learning
Medical physics
Breast cancer
Recurrence prediction
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)
Online adgang:https://doi.org/10.1186/s43046-024-00222-6
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