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Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation
Deep neural networks usually require large labeled datasets to construct accurate models; however, in many real-world scenarios, such as medical image segmentation, labelling data is a time-consuming and costly human (expert) intelligent task. Semi-supervised methods leverage this issue by making us...
Gorde:
| Argitaratua izan da: | IEEE Access |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2019
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6777718/ https://ncbi.nlm.nih.gov/pubmed/31588387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACCESS.2019.2891970 |
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