Dynamic graph-based quantum feature selection for accurate fetal plane classification in ultrasound imaging
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Researchers are exploring the use of dynamic graph-based quantum feature selection to improve fetal plane classification in ultrasound imaging. This approach aims to enhance the accuracy of fetal plane classification. The use of quantum feature selection in this context is being investigated for its potential to improve ultrasound imaging outcomes.