TY  - JOUR
AU  - Picon, Artzai
AU  - Medela, Alfonso
PY  - 2020
DO  - 10.4103/jpi.jpi_41_20
SN  - 2229-5089
AB  - Deep learning diagnostic algorithms are proving comparable results with human experts in a wide variety of tasks, and they still require a huge amount of well-annotated data for training, which is often non affordable. Metric learning techniques have...
LA  - eng
TI  - Constellation loss: Improving the efficiency of deep metric learning loss functions for the optimal embedding of histopathological images
TY  - journal article
ER  -