This repository provides CPU (OpenMP) and GPU (CUDA) implementations of Generalised Geodesic Distance Transform in PyTorch for 2D and 3D input data based on parallelisable raster scan ideas from [1].

Abstract: Euclidean distance transforms are fundamental in image processing and computer vision, with critical applications in medical image analysis and computer graphics. However, existing ...

Along with the steady increase of multi-resistant and extensively virulent microorganisms, the genomic approach has become an essential ally in the search for genetic factors related to microbial ...

While neural networks used in practice are often very deep, the benefit of depth is not well understood. Interestingly, it is known that increasing depth is often harmful for regression tasks. In this ...

1 Department of Computer Science and Engineering, Oakland University (OU), Rochester, MI, USA. 2 Department of Electrical and Computer Engineering, Oakland University (OU), Rochester, MI, USA. The ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...