RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement

Breast cancer is a significant public health concern and early detection is critical for triaging high risk patients. Sequential screening mammograms can provide important spatiotemporal information about changes in breast tissue over time. In this study, we propose a deep learning architecture call...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Hong Hui Yeoh, Liew, Andrea, Phan, Raphaël, Strand, Fredrik, Kartini Rahmat, Nguyen, Tuong Linh, Hopper, John L, Tan, Maxine
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymmetry Breast cancer Datasets Deep learning Mammography Medical imaging Prediction models Public health Radiomics Risk assessment
Online-Zugang:	Volltext
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