The “ConvDAB-Net” project at IUTT achieves 98% accuracy in fetal brain anomaly classification, utilizing hybrid AI techniques to support early medical diagnosis.
The “ConvDAB-Net” project at IUTT achieves 98% accuracy in fetal brain anomaly classification, utilizing hybrid AI techniques to support early medical diagnosis.