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Active Appearance Model Induced Generative Adversarial Network for Controlled Data Augmentation
Data augmentation is an important strategy for enlarging training datasets in deep learning-based medical image analysis. This is because large, annotated medical datasets are not only difficult and costly to generate, but also quickly become obsolete due to rapid advances in imaging technology. Ima...
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| Pubblicato in: | Med Image Comput Comput Assist Interv |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6834374/ https://ncbi.nlm.nih.gov/pubmed/31696163 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32239-7_23 |
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