2 papers
eess.IV2022
Representation Learning for Non-Melanoma Skin Cancer using a Latent Autoencoder
Simon Myles Thomas
Generative learning is a powerful tool for representation learning, and shows particular promise for problems in biomedical imaging. However, in this context, sampling from the dis…
cs.LG2022
Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin Cancer
Simon M. Thomas, James G. Lefevre, Glenn Baxter +1
Pathologists have a rich vocabulary with which they can describe all the nuances of cellular morphology. In their world, there is a natural pairing of images and words. Recent adva…