Mathematical methods for diagnosing breast cancer
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IMAGE: 100 microscope images of breast tissue were analyzed in order to teach computer to recognize malignancy; 85 percent accuracy rate was achieved. view more 

Credit: KTU

The team of researchers at Kaunas University of Technology, Lithuania are developing mathematical methods which could help diagnose breast cancer. Applying deep learning method, the researchers are aiming to “teach” computer to recognise malignant lesions, which would allow at least partially automatize and enhance the accuracy of diagnosing breast cancer.

In 2014, around 93.5 thousand people died from breast cancer in the EU, the vast majority (92.5 thousand) of them were women. Among women, breast cancer accounted for 3.7 % of all deaths. According to the World Health Organisation, more than 1 million new breast cancer cases are being diagnosed every year. The international community of medical professionals is warning that the incidence of oncological diseases is rising; in the last 15 years in Lithuania the cancer rate increased by 75%.

For better treatment and prognosis of cancer patients, early diagnosis is the key.

“Often in cancer diagnosis oncologists rely on visual information – the image of the tissue in question is being analysed in order to determine the nature of the

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