Three state-of-the-art deep learning architectures working together for accurate heart disease detection.
VGG16, ResNet50, and DenseNet121 analyze your scan simultaneously for maximum accuracy and reliability.
Advanced language models analyze the predictions and generate comprehensive medical reports with risk assessment.
Get clear low, medium, or high risk classification with confidence scores to support clinical decision-making.
From scan to diagnosis in three simple steps.
Drag and drop your myocardial perfusion imaging scan in JPG, PNG, or DICOM format.
Three deep learning models process your image simultaneously, each providing independent analysis.
Receive a comprehensive report with risk assessment, model predictions, and clinical recommendations.
Trained on real myocardial perfusion scintigraphy datasets.
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