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Predicting Heart Rejection Using Histopathological Whole-Slide Imaging and Deep Neural Network with Dropout
Cardiac allograft rejection is one major limitation for long-term survival for patients with heart transplants. The endomyocardial biopsy is one gold standard to screen heart rejection for patients that have heart transplantation. However, manual identification of heart rejection is expensive and ti...
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| Published in: | IEEE EMBS Int Conf Biomed Health Inform |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7324296/ https://ncbi.nlm.nih.gov/pubmed/32601619 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/bhi.2017.7897190 |
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