4 citations · 4 across the 1 of their papers we have counts for
3 papers
Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies
Piotr Giedziun, Jan Sołtysik, Mateusz Górczany +7
We present a solution for the MIDOG 2025 Challenge Track~2, addressing binary classification of normal mitotic figures (NMFs) versus atypical mitotic figures (AMFs). The approach l…
RF-DETR for Robust Mitotic Figure Detection: A MIDOG 2025 Track 1 Approach
Piotr Giedziun, Jan Sołtysik, Mateusz Górczany +7
Mitotic figure detection in histopathology images remains challenging due to significant domain shifts across different scanners, staining protocols, and tissue types. This paper p…
Machine learning methods for accurate delineation of tumors in PET images
Jakub Czakon, Filip Drapejkowski, Grzegorz Zurek +3
In oncology, Positron Emission Tomography imaging is widely used in diagnostics of cancer metastases, in monitoring of progress in course of the cancer treatment, and in planning r…