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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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Vydáno v:IEEE Access
Hlavní autoři: Lee, Juhun, Nishikawa, Robert M.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
Témata:
On-line přístup: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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