2 papers
cs.CV2025
Screener: Self-supervised Pathology Segmentation in Medical CT Images
Mikhail Goncharov, Eugenia Soboleva, Mariia Donskova +5
Accurate detection of all pathological findings in 3D medical images remains a significant challenge, as supervised models are limited to detecting only the few pathology classes a…
eess.IV2025
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
Boris Shirokikh, Anvar Kurmukov, Mariia Donskova +3
Domain shift presents a significant challenge in applying Deep Learning to the segmentation of 3D medical images from sources like Magnetic Resonance Imaging (MRI) and Computed Tom…