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eess.IV2022★ 1 cited
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini
In the application of deep learning on optical coherence tomography (OCT) data, it is common to train classification networks using 2D images originating from volumetric data. Give…
eess.IV2020
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?
Iulian Emil Tampu, Neda Haj-Hosseini, Anders Eklund
Effective, robust, and automatic tools for brain tumor segmentation are needed for the extraction of information useful in treatment planning from magnetic resonance (MR) images. C…