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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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Publicat a:IEEE Access
Autors principals: Lee, Juhun, Nishikawa, Robert M.
Format: Artigo
Idioma:Inglês
Publicat: 2020
Matèries:
Accés en línia: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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