Pranav-Karra-3301
View NotebookNumPy Implementation of HOG3D
The HOG3D (Histogram of Oriented Gradients 3D) implementation is developed using NumPy to facilitate efficient computation of gradient histograms in 3D. This implementation is designed to work with medical imaging data, particularly for detecting blocks in coronary arteries. The notebook provided demonstrates how to apply the HOG3D algorithm to NIFTI (.nii or .nii.gz) files, which are commonly used in medical imaging.