Evaluation of Tracking Algorithms for Contrast Enhanced Ultrasound Imaging Exploration
Author:
Affiliation:
1. Politehnica University Timisoara, Romania
2. Victor Babes University of Medicine and Pharmacy of Timisoara, Romania
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3511616.3513111
Reference37 articles.
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2. Deep learning based classification of focal liver lesions with contrast-enhanced ultrasound
3. R. Zemouri , N. Zerhouni and D. Racoceanu , " Deep Learning in the Biomedical Applications: Recent and Future Status," Applied Sciences , vol. 9 , 2019 . R. Zemouri, N. Zerhouni and D. Racoceanu, "Deep Learning in the Biomedical Applications: Recent and Future Status," Applied Sciences, vol. 9, 2019.
4. Characterization of Focal Liver Lesions with Contrast-specific US Modes and a Sulfur Hexafluoride–filled Microbubble Contrast Agent: Diagnostic Performance and Confidence
5. Deep Neural Architectures for Contrast Enhanced Ultrasound (CEUS) Focal Liver Lesions Automated Diagnosis
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