Predicting breast cancer recurrence using multimodal deep learning and MRI: Systematic review
This paper presents a systematic review of deep learning approaches for predicting breast cancer recurrence from multimodal Magnetic Resonance Imaging and clinicopathological data, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines.