Fig. 5
From: Generalizable deep neural networks for image quality classification of cervical images

Uniform manifold approximation and projections (UMAP) highlighting the relative distributions of the datasets, devices and geographies investigated in this work. Each subplot highlights a different representation of the UMAP, where the color coding (highlighted in the corresponding legend at the top of each subplot) is at the (a) dataset-level (seed vs. external), (b) device-level and (c) geography-level. The datasets and devices occupy distinct clusters in (a) and (b), while the geographies are all clustered together within the same device in (c).