Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset.
Purpose: To compare machine learning methods for classifying mass lesions on mammography images that use predefined image features computed over lesion segmentations to those that leverage segmentation-free representation learning on a standard, public evaluation dataset.Methods: We apply several cl...
| Publicado en: | Journal of Biomedical Informatics Vol. 113 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Jan2021
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| Acceso en línea: | Ver este registro en EBSCOhost |