Repository Copy of: A Review of Deep Learning Approaches with CMR Images in the Diagnosis of Cardiovascular Diseases

Key Result

This article provides a review of deep learning approaches using cardiovascular magnetic resonance images for the diagnosis of cardiovascular diseases.

Key Points

• The aim is to explore deep learning methods applied to cardiovascular disease diagnosis utilizing CMR images.
• Review of existing literature on deep learning applications in CMR imaging.
• Analysis of various algorithms used for diagnostic processes.
• Discussion of advancements and limitations in current approaches.
• Deep learning techniques improve diagnostic accuracy in cardiovascular disease detection.
• Potential for enhanced imaging interpretation through advanced algorithms.
• Challenges remain in real-world application and integration into clinical practice.