Koen Dercksen

Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification

2019 · arXiv (Cornell University)

Large amounts of unlabelled data are commonplace for many applications in computational pathology, whereas labelled data is often expensive, both in time and cost, to acquire. We investigate the performance of unsupervised and supervised deep …