Deep feature-based automatic classification of mammograms.
Breast cancer has the second highest frequency of death rate among women worldwide. Early-stage prevention becomes complex due to reasons unknown. However, some typical signatures like masses and micro-calcifications upon investigating mammograms can help diagnose women better. Manual diagnosis is a...
| Published in: | Medical & Biological Engineering & Computing Vol. 58; no. 6; pp. 1199 - 1212 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jun2020
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| Online Access: | View this record in EBSCOhost |