3 papers
q-bio.QM2020
DiviK: Divisive intelligent K-Means for hands-free unsupervised clustering in big biological data
Grzegorz Mrukwa, Joanna Polanska
Investigating molecular heterogeneity provides insights about tumor origin and metabolomics. The increasing amount of data gathered makes manual analyses infeasible - therefore, au…
eess.IV2019
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans
Michał Marcinkiewicz, Grzegorz Mrukwa
Over the last few years, deep learning has proven to be a great solution to many problems, such as image or text classification. Recently, deep learning-based solutions have outper…
eess.IV2019
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz +8
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in diagnosis and grading of brain tumor. Although manual DCE biomarker extraction algorithms…