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Generative multi-adversarial network for striking the right balance in abdominal image segmentation
Purpose The identification of abnormalities that are relatively rare within otherwise normal anatomy is a major challenge for deep learning in the semantic segmentation of medical images. The small number of samples of the minority classes in the training data makes the learning of optimal classific...
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| Publicado no: | Int J Comput Assist Radiol Surg |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7603459/ https://ncbi.nlm.nih.gov/pubmed/32897490 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-020-02254-4 |
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