1 citations
- Gdańsk Medical UniversityPL3 papers
- Central Clinical HospitalPL2 papers
- Medical University of WarsawPL2 papers
- Silesian University of TechnologyPL2 papers
- Yale Cancer CenterUS2 papers
- Collegium Medicum in BydgoszczPL1 paper
- Jagiellonian UniversityPL1 paper
- Medical University of BiałystokPL1 paper
- Nicolaus Copernicus UniversityPL1 paper
- Państwowa Wyższa Szkoła Zawodowa w RaciborzuPL1 paper
- The Maria Sklodowska-Curie National Research Institute of OncologyPL1 paper
- University of OpolePL1 paper
3 papers
cs.CV2026
Can Unsupervised Methods Outperform Supervised Deep Learning When Ground Truth Is Sparse? A Case Study of Bronchovascular Bundle Segmentation in Low-Dose CT
Anna Mrukwa, Marek Socha, Aleksandra Suwalska +9
Background Lung cancer remains the deadliest cancer worldwide because it is often diagnosed too late. Effective treatment depends on detection at an early screening stage. However,…
eess.IV2024★ 1 cited
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography
Przemysław Bombiński, Patryk Szatkowski, Bartłomiej Sobieski +6
Lung mask creation lacks well-defined criteria and standardized guidelines, leading to a high degree of subjectivity between annotators. In this study, we assess the underestimatio…
eess.IV2022★ 1 cited
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis
Wojciech Prazuch, Aleksandra Suwalska, Marek Socha +19
Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learn…