Wavelets crunch through doctors' day long struggle to diagnose br...(f a signal. The Warwick researchers ...),Health

The Warwick researchers have used their wavelet analysis to examine slides of tumour structure and texture from patient case history that have already been diagnosed and treated.

Within seconds the analysis can examine hundreds of slides with hundreds of thousands of pixels of data and is able to give a full diagnosis of precise tumour type with 80% accuracy. The wavelet method is also able to analyse all of the millions of pixels employed in a current slide. The wavelet technology can also be employed, if sufficient computing power is available, to quickly analyse the massive-sized data that are becoming available on the latest high resolution slides.

Researchers believe that the technology should be used to support a tumour specialist's (histopathologist's) own expert abilities. They will be able to use this new computing power to sharply focus their own diagnostic expertise on the most crucial pieces of data, preserve a consistent form of analysis using the latest and best expert thought, and help guide tumour experts down the most efficient avenues of investigation.

The lead researcher on the project, University of Warwick doctoral researcher Hammad Qureshi says:

"This partnership of computing power and human expertise could produce a ten fold increase in the number of these difficult tumours that a doctor could specifically identify in a day."

Dr Nasir Rajpoot, an Associate Professor in the University of Warwick's Department of Computer Science said:

"We are now looking for histopathologists who would like to share real time patient data with us. We fully expect to be able to replicate our lab results in a real patient environment."

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