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Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging
Heart transplant rejection is one major threat for the survival of patients with a heart transplant. Endomyocardial biopsies are effective in showing signs of heart transplant rejection even before patients have any symptoms. Manually examining the tissue samples is costly, time-consuming and error-...
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| izdano v: | IEEE EMBS Int Conf Biomed Health Inform |
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| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2019
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7310716/ https://ncbi.nlm.nih.gov/pubmed/32577622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/bhi.2019.8834632 |
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