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cs.CV2021
Medical image segmentation with imperfect 3D bounding boxes
Ekaterina Redekop, Alexey Chernyavskiy
The development of high quality medical image segmentation algorithms depends on the availability of large datasets with pixel-level labels. The challenges of collecting such datas…
cs.CV2021
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy +1
Domain Adaptation (DA) methods are widely used in medical image segmentation tasks to tackle the problem of differently distributed train (source) and test (target) data. We consid…
cs.CV2021
Uncertainty-based method for improving poorly labeled segmentation datasets
Ekaterina Redekop, Alexey Chernyavskiy
The success of modern deep learning algorithms for image segmentation heavily depends on the availability of large datasets with clean pixel-level annotations (masks), where the ob…