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Found 3 papers, 1 papers with code
Expanding the deep-learning model to diagnosis LVNC: Limitations and trade-offs
The dataset consists of up 379 patients in three groups with different particularities and cardiomyopathies.
Code Detection for Hardware Acceleration Using Large Language Models
Our novel prompting strategy substantially reduces false positives, resulting in excellent overall accuracy (91. 1%, 97. 9%, and 99. 7%, respectively).
Deep learning approach to left ventricular non-compaction measurement
Left ventricular non-compaction (LVNC) is a rare cardiomyopathy characterized by abnormal trabeculations in the left ventricle cavity.
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