CAD4TB: Computer Aided Detection for Tuberculosis
CAD4TB software is designed to help (non-expert) readers detect tuberculosis (TB) more accurately and cost-effectively. The speed of digital X-rays combined with deep learning and remote expertise make CAD4TB a valuable asset in the fight against TB.
The output of the CAD4TB software is a score between 0 and 100, indicating the likelihood that the subject on the image has active TB. The score also includes a texture heat map overlaying the original X-ray image which indicates abnormalities. Only if the output score is higher than a certain threshold will the patient need a subsequent sputum test to finalize the diagnosis. This process brings down both the cost and the time-to-treatment.
CAD4TB is CE-certified, validated through over 40 academic publications, implemented in 40 countries, and has screened over 6 million people.