LABELS 2020 People's Choice Question Title * 1. In your opinion, which contribution at LABELS 2020 most deserves an award? Paying Per-label Attention for Multi-label Extraction from Radiology ReportsPoster Risk of training diagnostic algorithms on data with demographic biasPoster Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labelsPoster Semi-Weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional NetworksPoster Curating Subject ID Labels using Keypoint SignaturesPoster OK DONE