IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
Ting Yu Tsai, An Yu, Meghana Spurthi Maadugundu, Ishrat Jahan Mohima,, Umme Habiba Barsha, Mei-Hwa F. Chen, Balakrishnan Prabhakaran, Ming-Ching, Chang

TL;DR
IntelliCardiac is a web-based platform that uses AI for automatic segmentation and classification of cardiac images, achieving high accuracy and supporting clinical decision-making.
Contribution
The paper introduces IntelliCardiac, a novel integrated platform combining deep learning-based segmentation and classification for cardiac images, outperforming existing methods.
Findings
Segmentation accuracy of 92.6%
Classification accuracy of 98%
Supports real-time visualization and workflow integration
Abstract
Precise and effective processing of cardiac imaging data is critical for the identification and management of the cardiovascular diseases. We introduce IntelliCardiac, a comprehensive, web-based medical image processing platform for the automatic segmentation of 4D cardiac images and disease classification, utilizing an AI model trained on the publicly accessible ACDC dataset. The system, intended for patients, cardiologists, and healthcare professionals, offers an intuitive interface and uses deep learning models to identify essential heart structures and categorize cardiac diseases. The system supports analysis of both the right and left ventricles as well as myocardium, and then classifies patient's cardiac images into five diagnostic categories: dilated cardiomyopathy, myocardial infarction, hypertrophic cardiomyopathy, right ventricular abnormality, and no disease. IntelliCardiac…
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Taxonomy
TopicsECG Monitoring and Analysis · COVID-19 diagnosis using AI · Medical Image Segmentation Techniques
