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...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsmän: Patra, A, Noble, JA
Materialtyp: Conference item
Språk:English
Publicerad: Springer 2020