Michal Marcinkiewicz | DeepAI

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research

∙ 10/07/2021

Optimized U-Net for Brain Tumor Segmentation

We propose an optimized U-Net architecture for a brain segmentation tas...

0 Michał Futrega, et al. ∙

research

∙ 09/18/2019

Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans

Over the last few years, deep learning has proven to be a great solution...

0 Michal Marcinkiewicz, et al. ∙

research

∙ 07/18/2019

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an ...

11 Jakub Nalepa, et al. ∙

research

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙