Artificial intelligence-based morphologic classification and molecular characterization of … – Nature

A deep learning model using attention-based multiple instance learning (aMIL) and self-supervised learning (SSL) was developed to perform pathologic classification of neuroblastic tumors and assess MYCN
Neuroblastoma is a neuroblastic tumor (NT) and the most common extracranial pediatric solid tumor, affecting nearly 800 children in the United States annually1. To select optimal treatment strategies, patients are risk-stratified according to prognostic clinical, pathologic, and molecular […]
Artificial intelligence-based morphologic classification and molecular characterization of … – Nature