Chest X-ray

Philips CAD Chest

Computer Aided Detection (CAD) Chest

A chest X-ray may be one of the most common X-ray examinations given.

 

Chest X-rays provide your doctor with a good general insight into what might be ailing you.

 

At Philips we’ve developed a new tool to take advantage of the chest X-ray and help promote early visualization of suspicious lesions.

 

 

 

Its formal name is, Philips xLNA (X-ray lung nodule assessment), but we simply call it Philips CAD Chest – a new generation of Computed Assisted Detection (CAD) software.

 

Assistance for the radiologist

Our Philips CAD Chest software helps radiologists check digital X-ray images for lung lesions and nodules.

 


CAD Chest digital X-ray            CAD Chest digital X-ray 

With the push of a button, special calculations reveal lung nodules, including small nodules. Possible abnormalities are highlighted, focusing the doctor’s attention.


 

With CAD Chest, suspicious regions of the image are highlighted or marked when the X-ray is acquired. These ‘tags’ then suggest to the clinician areas that may require further review after the initial assessment.

 

It’s like having an extra pair of eyes on every chest exam.

 

Good images - increased confidence
A typical X-ray has areas that may be overexposed (too dark) and some that may be underexposed (too bright). Instead of tweaking these areas by hand, our state-of the-art UNIQUE algorithm automates the process.

 

The result? A high-quality diagnostic image.

 

If we can instill in your radiologist an extra sense of diagnostic confidence, we will have done our job. With thousands of chest X-rays performed every day, the Philips CAD Chest and UNIQUE image processing have the potential to turn each one into an early warning system.

 

 

This information is intended to be used for educational purposes only. Philips Healthcare does not offer medical advice and nothing contained in the content is intended to constitute professional advice for medical diagnosis or treatment.

 

 

 

 

 

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