1 code implementation • 21 Feb 2022 • 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.
no code implementations • 26 Oct 2020 • Iulian Emil Tampu, Neda Haj-Hosseini, Anders Eklund
The BraTS2020 dataset was used to train and test two standard 3D U-Net models that, in addition to the conventional MR image modalities, used the anatomical contextual information as extra channels in the form of binary masks (CIM) or probability maps (CIP).