Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2:ERG Fusion Status in Prostate Cancer Using Whole Slide Images.

Mohamed Omar,Zhuoran Xu,Sophie B Rand, Mohammad K Alexanderani,Daniela C Salles,Itzel Valencia,Edward M Schaeffer,Brian D Robinson,Tamara L Lotan,Massimo Loda,Luigi Marchionni

Molecular cancer research : MCR（2024）

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摘要

IMPLICATIONS: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.

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