Subscribe to our social channels to get the latest news about Hungary!
Hungarian researchers on the top of the scientific world
Change language:
Hungarian scientists discovered a method by which breast cancer can be diagnosed much earlier, easier and swifter. Their related article became the 30th most read in Nature magazine, one of the most recognised scientific journals in the world.
A revolution in breast cancer detection?
Breast cancer is the most common cancer in women, and it is the main cause of death from cancer among women in the world. Therefore, Hungarian scientists developed an innovative method, the so-called deep-learning system, an image analysis software which can revolutionise mammography screenings. Their related article published in the Nature Scientific Reports became the 30th most read among the more than 17 thousand articles that appeared in the scientific periodical in 2018 – szeretlekmagyarorszag.hu reported.
In fact, the method was already introduced for The Digital Mammography DREAM Challenge that aims to better the evaluation of screening mammograms. The challenge was initiated by the US National Cancer Institute and the Cancer Moonshot Initiative started by former US vice president Joe Biden. In this contest, Dezső Ribli, a PhD student from Eötvös Loránd University (Budapest) and one of the authors of the above-mentioned Nature article
came in second place among the more than 1,200 applying scientists.Â
According to the authors of the Nature paper, the DM challenge provided an excellent opportunity to compare the performance of competing methods in a controlled and fair way instead of self-reported evaluations on different or proprietary datasets.
The image analysis software developed by the Hungarian team of scientists is capable of