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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...

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Detalhes bibliográficos
Publicado no:Med Image Comput Comput Assist Interv
Main Authors: Qi, Huan, Collins, Sally, Noble, J. Alison
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7610196/
https://ncbi.nlm.nih.gov/pubmed/33163992
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59710-8_57
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