Virginia Tasso, a PhD student in Information Technology at the Department of Electronics, Information and Bioengineering of Politecnico di Milano, has received the Best Pan-Cancer Accuracy Winner Award in the FLARE 2026 competition, held as part of the 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026).
The award was presented for the study “Pan-cancer Lesion Segmentation in CT under Heterogeneous and Partial Annotation,” which introduces OmniLesion, a system for the automatic segmentation of cancer lesions in computed tomography images. The solution is designed to identify and delineate lesions of different types, located across different anatomical regions and varying in size.
The research stems from a collaboration between the Department of Electronics, Information and Bioengineering’s NECSTLab and Nucleo, a company that develops solutions for automated cancer diagnosis.