Multiparametric MRI-based habitat analysis integrating deep learning and radiomics for predicting preoperative Ki-67 expression level in breast cancer

Abstract Background Breast cancer (BC) is the most common malignant tumor in women globally. Ki-67, a vital marker for prognosis, is currently detected invasively. Non-invasive magnetic resonance imaging (MRI) prediction faces challenges due to intratumoral heterogeneity. Materials and methods This...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Yuqian Wang, Yue Zhang, Zaiyi Liu, Yiming Xiong, Mifang Li, Lingyan Zhang, Zhenwei Shi
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	BMC 2026-01-01
Ráidu:	BMC Medical Imaging
Fáttát:	Breast cancer Radiomics Habitat Machine learning Deep learning Ki-67 expression level
Liŋkkat:	https://doi.org/10.1186/s12880-026-02151-3
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!