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...
| Главные авторы: | , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
Springer
2020
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