Package that enable working on GPU accelerated medical image segmentation using Julia. The tech stack includes :
MedEye3d.jl - OpenGL based tool for viewing and annotation of 3D medical imagiing
MedEval3D.jl - CUDA accelerated package with 3D medical image segmentation algorithms
HDF5.jl - Julia interface to HDF5 file system which is proven to give higher performance than native medical imagiing formats
MONAI - Python package called in Julia using PythonCall - used for preprocessing
Tutorial can be found on https://github.com/jakubMitura14/MedPipe3DTutorial/tree/master
If You will find usefull my work please cite it
@Article{Mitura2021, author = {Mitura, Jakub and Chrapko, Beata E.}, journal = {Zeszyty Naukowe WWSI}, title = {{3D Medical Segmentation Visualization in Julia with MedEye3d}}, year = {2021}, number = {25}, pages = {57--67}, volume = {15}, doi = {10.26348/znwwsi.25.57}, keywords = {OpenGl, Computer Tomagraphy, PET/CT, medical image annotation, medical image visualization}, }