Thymic epithelial tumors (TETs) are rare malignancies that pose significant diagnostic challenges due to their heterogeneous histological patterns and substantial interobserver variability in classification.Despite standardized World Health Organization (WHO) classification criteria, diagnostic concordance remains suboptimal, particularly in non-expert settings, where second-opinion reviews lead to diagnostic reclassification in up to 57% of cases.Deep learning may offer a tool to reduce diagnostic…
Deep Learning Discriminates Thymic Epithelial Tumors Histological Subtypes Using Digital Pathology
Annals of Oncology | | Matteo Sacco, Erica Pietroluongo, Anna Di Lello, Mirella Marino, Alexander McGeough, Alessandra Esposito, Rishi Sharma, Aliya N. Husain, Qudsia Arif, Maha A.T. Elsebaie, Alexander T. Pearson, James M. Dolezal, Marina Chiara Garassino
Topics: blood-cancer