https://www.selleckchem.com/pr....oducts/tuvusertib.ht
Determining the site of origin for metastatic well-differentiated neuroendocrine tumors (WDNETs) is challenging, and immunohistochemical (IHC) profiles do not always lead to a definitive diagnosis. We sought to determine if a deep-learning convolutional neural network (CNN) could improve upon established IHC profiles in predicting the site of origin in a cohort of WDNETs from the common primary sites. Hematoxylin and eosin (HE)-stained tissue microarrays (TMAs) were created using 215 WDNETs arising from the known primary sites.
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