LUNG: JLD-01K

Lung Disease (CT)
Lung cancer & tuberculosis multi-solution

Description

Also available JLD-02K:


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WHY JLD-01K

  • Quantitative analysis to assist decision making in diagnosis
  • Less dependent on doctor's experience
  • Access management to enhance the security of the system
  • Convenient patient data management through PACS

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.

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