Survey on Prediction of Cardiomegaly Disease Using Convolutional Neural Networks (CNN)

Cardiomegaly, or an enlarged heart, is a serious medical disorder that is frequently identified using chest radiography. Recent advances in deep learning, notably Convolutional Neural Networks (CNNs), have demonstrated great promise in automating illness identification in medical imaging. This literature review investigates the history of cardiomegaly detection methods, focusing on the shift from classical techniques to deep learning approaches. The use of CNNs in medical image analysis is emphasized, with a focus on their design, data preparation, augmentation strategies, and assessment measures. The study also identifies research gaps and recommends how CNN-based approaches may help predict cardiomegaly.