Incremental learning of fetal heart anatomies using interpretable saliency maps
While medical image analysis has seen extensive use of deep neural networks, learning over multiple tasks is a challenge for connectionist networks due to tendencies of degradation in performance over old tasks while adapting to novel tasks. It is pertinent that adaptations to new data distributions...
| Main Authors: | , |
|---|---|
| פורמט: | Conference item |
| שפה: | English |
| יצא לאור: |
Springer
2020
|