A Microenvironment-Aware Deep Learning Framework Leveraging Gland-Stroma Morphological Signatures for Prostate Cancer Prognostic Risk Stratification
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Presented at the Luddy Ph.D. Research Symposium at Indiana University Indianapolis. This presentation introduced a microenvironment-aware deep learning framework that leverages gland-stroma morphological signatures for prostate cancer prognostic risk stratification. The talk highlighted the integration of computational pathology and deep learning techniques to improve prognostic assessment and support precision oncology research.