42 citations · 43 across the 6 of their papers we have counts for
7 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…
Initializing EM algorithm for univariate Gaussian, multi-component, heteroscedastic mixture models by dynamic programming partitions
Andrzej Polanski, Michal Marczyk, Monika Pietrowska +2
Setting initial values of parameters of mixture distributions estimated by using the EM recursive algorithm is very important to the overall quality of estimation. None of the exis…
Signal Partitioning Algorithm for Highly Efficient Gaussian Mixture Modeling in Mass Spectrometry
Andrzej Polanski, Michal Marczyk, Monika Pietrowska +2
Mixture - modeling of mass spectra is an approach with many potential applications including peak detection and quantification, smoothing, de-noising, feature extraction and spectr…