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...
| Publicado en: | Journal of Digital Imaging Vol. 33; no. 5; pp. 1257 - 1266 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2020
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| Acceso en línea: | Ver este registro en EBSCOhost |