LEARNING DOMAIN-INVARIANT REPRESENTATIONS OF HISTOLOGICAL IMAGES

Learning Domain-Invariant Representations of Histological Images

Histological images present high appearance variability due to inconsistent latent parameters related to the preparation and scanning procedure of histological slides, as well as the inherent biological variability of tissues.Machine-learning models are trained with images from a limited set collirio drop set of domains, and are expected to general

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Genetic Markers Are Associated with the Ruminal Microbiome and Metabolome in Grain and Sugar Challenged Dairy Heifers

Dairy heifers were subjected to a non-life-threatening challenge designed to induce ruminal acidosis by feeding grain and sugar.Large among animal variation in clinical signs of acidosis, rumen metabolite concentrations, and the rumen microbiome occurred.This exploratory study investigates sources of the variation by examining associations between

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