Incremental learning of fetal heart anatomies using interpretable saliency maps

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...

書誌詳細
主要な著者:	Patra, A, Noble, JA
フォーマット:	Conference item
言語:	English
出版事項:	Springer 2020

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