1 citations · 1 across the 5 of their papers we have counts for
5 papers
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,…
Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support
Joanna Zyla, Michal Marczyk, Wojciech Prazuch +9
Due to its predominantly asymptomatic or mildly symptomatic progression, lung cancer is often diagnosed in advanced stages, resulting in poorer survival rates for patients. As with…
BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images
Wojciech Prażuch, Marek Socha, Anna Mrukwa +9
Segmentation of the bronchovascular bundle within the lung parenchyma is a key step for the proper analysis and planning of many pulmonary diseases. It might also be considered the…
POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021)
Aleksandra Suwalska, Joanna Tobiasz, Wojciech Prazuch +20
The outbreak of the SARS-CoV-2 pandemic has put healthcare systems worldwide to their limits, resulting in increased waiting time for diagnosis and required medical assistance. Wit…
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…