Kavli Affiliate: Michael Keiser | Authors: Mikio Tada, Garrett Gaskins, Sina Ghandian, Nicholas Mew, Michael J. Keiser and Elizabeth S. Keiser | Summary: Melanocytic atypia, ranging from benign to malignant, often leads to diagnostic discordance, complicating its prediction by machine learning models. To overcome this, we paired H&E-stained histology images with contiguous or serial sections […]
Continue.. Machine-learning convergent melanocytic morphology despite noisy archival slides