LUNG: JLD-01K
Lung Disease (CT)
Lung cancer & tuberculosis multi-solution
Lung cancer & tuberculosis multi-solution
Application:
Based on the patient''s chest CT data, the solutions helps radiologists to identify whether the patient has lung cancer/TB or not by providing the probability of having the disease and the location of lesion area.
JLD-01K is an AI-based medical system that simultaneously diagnoses lung cancer and tuberculosis using chest CT scans. This system is based on 3D hybrid artificial neural networks for multi-label classification and class mapping technology for lesion detection. It provides a probability for each class of lung disease and activation map of lesions based on feature intensity.
JLD-01K is an AI-based medical system that simultaneously diagnoses lung cancer and tuberculosis using chest CT scans. This system is based on 3D hybrid artificial neural networks for multi-label classification and class mapping technology for lesion detection. It provides a probability for each class of lung disease and activation map of lesions based on feature intensity.
Characteristics
- Multi-label classification
- Lung cancer lesion auto-detection and visualization • Tuberculosis lesion auto-detection and visualization
- Probabilities of lung cancer and tuberculosis
- Multi-class annotation tool for lesion marking and correction
- Registration and visualization of clinical information
- Analysis report with useful charts and diagrams