Search Results for author:
Found 7 papers, 1 papers with code
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
We propose a new method that employs transfer learning techniques to effectively correct sampling selection errors introduced by sparse annotations during supervised learning for automated tumor segmentation.
Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support
Due to its predominantly asymptomatic or mildly symptomatic progression, lung cancer is often diagnosed in advanced stages, resulting in poorer survival rates for patients.
BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images
We tested our method on both low-dose CT and standard-dose CT, with various pathologies, reconstructed with various slice thicknesses, and acquired from various machines.
POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021)
This paper introduces POLCOVID dataset, containing chest X-ray (CXR) images of patients with COVID-19 or other-type pneumonia, and healthy individuals gathered from 15 Polish hospitals.
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis
A similar performance was obtained on the independent dataset for normal and COVID-19 class subtypes.
Classification supporting COVID-19 diagnostics based on patient survey data
The obtained classification models provided the basis for the DECODE service (decode. polsl. pl), which can serve as support in screening patients with COVID-19 disease.
DiviK: Divisive intelligent K-Means for hands-free unsupervised clustering in big biological data
However, automated unsupervised analyses require a lot of experience with setting their hyperparameters and usually an upfront knowledge about the number of expected substructures.
