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Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Supervised training of deep learning models requires large labeled datasets. There is a growing interest in obtaining such datasets for medical image analysis applications. However, the impact of label noise has not received sufficient attention. Recent studies have shown that label noise can signif...
Gorde:
| Argitaratua izan da: | Med Image Anal |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7484266/ https://ncbi.nlm.nih.gov/pubmed/32623277 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2020.101759 |
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