ملف الباحث

Liana Stanescu

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Clinically Interpretable Nuclei Segmentation for Robust Histopathological Image Analysis

    2026 · Applied Sciences

    Background/Objectives: Accurate nuclear segmentation is a fundamental step in computational pathology, enabling reliable estimation of cellularity and nuclear morphology. However, segmentation models are typically evaluated under ideal imaging conditions, while real-world microscopy data are affected …