Automated Cardiac Disease Prediction Using Composite GAN and DeepLab Model

Automated Cardiac Disease Prediction Using Composite GAN and DeepLab Model

Cardiovascular diseases remain the leading global cause of mortality, resulting in over 17 million deaths annually. Manual cardiac image interpretation is often subjective and varies significantly among clinicians. However, constraints like limited annotation and model generalization persist. We int...

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Bibliographic Details
Main Authors: Sohail Jabbar, Umar Raza, Muhammad Asif Habib, Muhammad Farhan, Saqib Saeed
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cardiovascular diseases
generative adversarial networks
DeepLab
semantic segmentation
deep learning
cardiac MRI analysis
Online Access:https://ieeexplore.ieee.org/document/11082149/
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https://ieeexplore.ieee.org/document/11082149/

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