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Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study
In this work, we assess how pre-training strategy affects deep learning performance for the task of distinguishing false-recall from malignancy and normal (benign) findings in digital mammography images. A cohort of 1303 breast cancer screening patients (4935 digital mammogram images in total) was r...
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| Publicat a: | J Digit Imaging |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer International Publishing
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7573033/ https://ncbi.nlm.nih.gov/pubmed/32607908 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-020-00369-3 |
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