Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study

Alessio Mascolini, Dario Cardamone, Francesco Ponzio +2

Computer-aided analysis of biological images typically requires extensive training on large-scale annotated datasets, which is not viable in many situations. In this paper we prese…