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...
Gorde:
| Egile Nagusiak: | , , , , , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BMC
2026-01-01
|
| Saila: | BMC Medical Imaging |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1186/s12880-026-02151-3 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|