Cancer detector

Engineers at Deakin University in Australia have developed an automated system to improve the early detection of lung cancer.

Lung disease, including cancer, is usually detected with the aid of CT (computed tomography) and MRI (magnetic resonance imaging) scans.

However, interpreting the results of these tests can be challenging and may lead to false detections.

Deakin University engineering researchers Dr Abbas Kouzani and Alycia Lee have developed an automated system to evaluate CT scans, with a higher level of accuracy.

Dr Kouzani said: 'Currently, expert radiologists need to view many images per patient to try and identify nodules that may be cancerous.

‘This large amount of data increases the complexity of inspection and interpretation.

'Recent studies show that radiologists can differ in their interpretation of nodules in one patient.