We are pleased to announce that Zsolt Bedőházi and András Biricz, doctoral students of our group, have won first place in the Nightingale Open Science healthcare data analysis competition. Their innovative AI-based method for automated tuberculosis detection in microscopy images earned them the top prize of $3000, and their approach will be tested by Wellgen Medical on their private dataset. The winning solution combines UNI, a pathology foundation model, with a custom-tuned Transformer architecture to detect TB bacteria in respiratory samples.
TBC-diagnózis mesterséges intelligenciával | elte.hu
Az EMK kutatói győztesként vettek részt a Machine Learning for Health (ML4H) konferencián | semmelweis.hu
Adatelemző versenyt nyertek az ELTE doktoranduszai | minuszos.hu