TY  - CONF
AU  - Medela, Alfonso
AU  - Picon, Artzai
AU  - Saratxaga, Cristina L.
AU  - Belar, Oihana
AU  - Cabezon, Virginia
AU  - Cicchi, Riccardo
AU  - Bilbao, Roberto
AU  - Glover, Ben
PY  - 2019
DO  - 10.1109/isbi.2019.8759182
SN  - 978-1-5386-3642-8
SN  - 978-1-5386-3641-1
SN  - 9781538636411
AB  - Although deep learning pathology diagnostic algorithms are proving comparable results with human experts in a wide variety of tasks, they still require a huge amount of well annotated data for training. Generating such extensive and well labelled...
LA  - eng
PB  - IEEE
TI  - Few Shot Learning in Histopathological Images:Reducing the Need of Labeled Data on Biological Datasets: 												Reducing the need of labeled data on biological datasets
TY  - conference output
ER  -