Abstract: We present an image projection network (IPN), which is a novel end-to-end architecture and can achieve 3D-to-2D image segmentation in optical coherence tomography angiography (OCTA) images.
For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
Abstract: This paper presents different methods to model permanent magnet materials within the 2D finite element simulation of electrical machines and discuss them. The modeling deals with both the ...
For reference, we used cuda/10.1 and cudnn/v7.6.5.32 for our experiments. We expect that slight variations in versions are also compatible. See DATA.md for instructions on how to download and set up ...
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