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| Published in: | ArXiv cs.CV Recent Papers |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864583773379624964 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | ArXiv cs.CV Recent Papers |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:50159 |
| institution | FRELIP |
| journal_source_facet | ArXiv cs.CV Recent Papers |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images ArXiv cs.CV Recent Papers Civil & Construction Engineering & Technology |
| sub_discipline_display | Civil & Construction |
| sub_discipline_facet | Civil & Construction |
| subject_display | ArXiv cs.CV Recent Papers Civil & Construction Engineering & Technology ArXiv cs.CV Recent Papers Civil & Construction Engineering & Technology |
| subject_facet | ArXiv cs.CV Recent Papers Civil & Construction Engineering & Technology |
| title | External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images |
| title_auth | External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images |
| title_full | External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images |
| title_fullStr | External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images |
| title_full_unstemmed | External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images |
| title_short | External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images |
| title_sort | external validation of deep learning models for bi-rads breast density prediction from ultrasound images |
| topic | ArXiv cs.CV Recent Papers Civil & Construction Engineering & Technology |
| url | https://arxiv.org/abs/2605.05082v1 |