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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Hlavní autoři:	Saadia Azeroual, Fatima-ezzahraa Ben-Bouazza, Amine Naqi, Rajaa Sebihi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2024-06-01
Edice:	Journal of the Egyptian National Cancer Institute
Témata:	Machine learning Medical physics Breast cancer Recurrence prediction Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)
On-line přístup:	https://doi.org/10.1186/s43046-024-00222-6
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