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DeepLung-CAC

The product is an all-in-one screening system targeting the chest region, encompassing the lung, heart, and bone. Utilizing deep learning analysis on low-dose chest CT scans, this multi-module system is capable of automatically detecting lung nodules, predicting coronary artery calcification risk, and assessing bone density risk. As well as an auto report system that allows radiologists to preview and edit the comprehensive report.
LungRads - Lung Nodule Detection
LungRads module comprises lung nodule detection, segmentation, and classification models, trained on a dataset of over 6,000 CT images. Empowered with advanced 3D deep learning techniques, the module can rapidly detect and analyze lung nodules in less than a minute.
Coronary Artery Calcification Prediction
CAC module automatically analyses low-dose chest CT images to predict the severity of cardiac coronary artery calcification risk based on the Agatston score. The CAC risk prediction model is trained on over 1,000 CT images.
Bone Mineral Density Analysis
BMD module fetches low-dose chest CT images to classify the bone density of the spine into normal, osteopenia, and osteoporosis categories. In accordance with international guidelines, the module will provide corresponding recommendations, such as lifestyle changes.
Features
Report Generation
Generates structured reports in one click.
Compatible with All OS
Enable users to run the system across various operating systems.
Multilingual Support
Supports multiple languages, including English, Chinese, and Japanese.
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