A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors
Abstract Background The application of artificial intelligence (AI) in the ultrasound (US) diagnosis of breast cancer (BCa) is increasingly prevalent. However, the impact of US-probe frequencies on the diagnostic efficacy of AI models has not been clearly established. Objectives To explore the impac...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-01-01
|
| Series: | BMC Medical Informatics and Decision Making |
| Online Access: | https://doi.org/10.1186/s12911-023-02404-z |