Open access
Aug 2026
Explainable AI-Derived Spatial Pathological Features of Tumor, Necrosis, and Lymphocytes Identify Key Histological Signatures for Residual Cancer Burden Assessment in Breast Cancer
Background: Conventional histopathological assessment of residual cancer burden (RCB) following neoadjuvant therapy for breast cancer relies on manual visual evaluation, lacking objective quantification of spatial interactions among tumor, necrosis, and lymphocyte compartments. This limits prognostic accuracy and imped...
Xin Shu, Fan Wang, Tian-Cheng Zhao et al.
· Diagnostics · 0 citations