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Cross-organ, cross-modality transfer learning: feasibility study for segmentation and classification
We conducted two analyses by comparing the transferability of a traditionally transfer-learned CNN (TL) to that of a CNN fine-tuned with an unrelated set of medical images (mammograms in this study) first and then fine-tuned a second time using TL, which we call the cross-organ, cross-modality trans...
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| 出版年: | IEEE Access |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7935042/ https://ncbi.nlm.nih.gov/pubmed/33680628 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/access.2020.3038909 |
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