How NVIDIA Uses ITK

4 engineering articles about ITK from NVIDIA's engineering team

Other NVIDIA Technologies

Python(740)PyTorch(566)Deep Learning(505)TensorFlow(444)Docker(292)Kubernetes(251)

Articles

Filter:

Advanced

Accelerating Scikit-Image API with cuCIM: n-Dimensional Image Processing and I/O on GPUs

The article discusses cuCIM, a new RAPIDS library designed for accelerated n-dimensional image processing and image I/O on GPUs.

AlbumentationsApacheDaskDeep LearningITKJavaJAXNumbaNumPyOpenCVPythonPyTorchscikit-imageSciPySimpleITK

Gigon Bae

6 min read

Includes Code

Has Summary

--

Intermediate

MONAI v0.2 Brings Domain Specialized Best Practices to Medical Imaging AI Researchers

MONAI v0. 2 is an open-source, PyTorch-based framework designed specifically for medical imaging AI research.

CachingComputer VisionDeep LearningITKPyTorch

Brad Nemire

3 min read

Has Summary

--

Intermediate

Fast AI Assisted Annotation and Transfer Learning Powered by the Clara Train SDK

The article discusses NVIDIA's Clara Train SDK, which enhances AI-assisted annotation and transfer learning in medical imaging.

DockerITKPythonTensorFlowTransfer Learning

Holger Roth

7 min read

Has Summary

--

Advanced

Building Cross-Platform CUDA Applications with CMake

This article discusses how to build cross-platform CUDA applications using CMake, highlighting the challenges of multi-platform development and the advantages of using CMake for managing the build ...

Robert Maynard

10 min read

Includes Code

Has Summary

--

You've reached the end! All 4 articles loaded.