Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2:ERG Fusion Status in Prostate Cancer Using Whole Slide Images.
Mohamed N OmarZhuoran XuSophie B RandMohammad K AlexanderaniDaniela C SallesItzel ValenciaEdward M SchaefferBrian D RobinsonTamara L LotanMassimo LodaLuigi MarchionniPublished in: Molecular cancer research : MCR (2024)
Our study illuminates the potential of deep learning in effectively inferring key prostate cancer genetic alterations from the tissue morphology depicted in routinely available histology slides, offering a cost-effective method that could revolutionize diagnostic strategies in oncology.