Ensuring Excellence: Regressive Testing in CNN-Based Adaptive Feature Fusion

Driving Accuracy: Regressive Testing in Cardiac Anomaly Detection

Abstract

In the ever-evolving field of cardiac health monitoring, the integration of advanced technologies is crucial for early anomaly detection. Our latest focus is on the regressive testing of our CNN- based adaptive feature fusion approach, designed to enhance the accuracy and reliability of cardiac anomaly detection.