2 papers
cs.LG2026
Evaluating the trustworthiness of the Fréchet Inception Distance with stochastic embedding representations
Ciaran Bench, Vivek Desai, Carlijn Roozemond +2
Feature embeddings acquired from pretrained models are widely used in medical applications of deep learning to assess the characteristics of datasets; e.g. to determine the quality…
eess.IV2025
Technical specification of a framework for the collection of clinical images and data
Alistair Mackenzie, Mark Halling-Brown, Ruben van Engen +4
In this report a framework for the collection of clinical images and data for use when training and validating artificial intelligence (AI) tools is described. The report contains…