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April 30, 2026Computer Modeling in Engineering & Sciences0 citationsOpen Access

Explainable Segmentation-Guided Mamba-Transformer Framework for Automated Cardiovascular Disease Detection

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GAGhada AtteiaAAAbdulaziz AltamimiNANihal Abuzinadah

Key Points

  • This research aims to improve the accuracy of cardiovascular disease detection using automated methods.
  • Developed an explainable segmentation-guided framework
  • Utilized a Mamba-Transformer architecture
  • Applied to cardiac images for enhanced diagnosis
  • Demonstrated improved diagnostic accuracy for cardiovascular diseases
  • Utilized deep learning techniques effectively

Abstract

Cardiovascular diseases (CVD) remain the leading cause of global mortality, making early and accurate diagnosis essential for improving patient outcomes. However, most existing deep learning approaches address cardiac image s... | Find, read and cite all the research you need on Tech Science Press

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Atteia et al. (2026) studied this question.

synapsesocial.com/papers/69f2a42a8c0f03fd67763386https://doi.org/10.32604/cmes.2026.078510
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