Knowledge-guided pretext learning for utero-placental interface detection
Modern machine learning systems, such as convolutional neural networks rely on a rich collection of training data to learn discriminative representations. In many medical imaging applications, unfortunately, collecting a large set of well-annotated data is prohibitively expensive. To overcome data s...
| Autori principali: | , , |
|---|---|
| Natura: | Conference item |
| Lingua: | English |
| Pubblicazione: |
Springer
2020
|