Wird geladen...
Using convolutional neural networks for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk
RATIONALE AND OBJECTIVES: We evaluate utilizing convolutional neural networks (CNNs) to optimally fuse parenchymal complexity measurements generated by texture analysis into discriminative meta-features relevant for breast cancer risk prediction. MATERIALS AND METHODS: With IRB approval and HIPAA co...
Gespeichert in:
| Veröffentlicht in: | Acad Radiol |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
|
| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6026048/ https://ncbi.nlm.nih.gov/pubmed/29395798 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acra.2017.12.025 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|