cuCIM
Jan 09, 2023
Rapidly Build AI-Streaming Apps with Python and C++
The computational needs for AI processing of sensor streams at the edge are increasingly demanding. Edge devices must keep up with high rates of incoming data...
5 MIN READ
Jan 05, 2023
Accelerating Digital Pathology Workflows Using cuCIM and NVIDIA GPUDirect Storage
Whole slide imaging (WSI), the digitization of tissue on slides using whole slide scanners, is gaining traction in healthcare. WSI enables clinicians in...
10 MIN READ
Jul 27, 2022
Enhanced Image Analysis with Multidimensional Image Processing
Image data can generally be described through two dimensions (rows and columns), with a possible additional dimension for the colors red, green, blue (RGB)....
5 MIN READ
Aug 05, 2021
Accelerating Digital Pathology Pipelines with NVIDIA Clara Deploy
As an undergraduate student excited about AI for healthcare applications, I was thrilled to be joining the NVIDIA Clara Deploy team for an internship. It was...
8 MIN READ
May 26, 2021
Clara Train 4.0 Upgrades to MONAI and supports FL with Homomorphic Encryption
NVIDIA recently released Clara Train 4.0, an application framework for medical imaging that includes pre-trained models, AI-Assisted Annotation, AutoML, and...
2 MIN READ
Apr 20, 2021
Accelerating Scikit-Image API with cuCIM: n-Dimensional Image Processing and I/O on GPUs
Overview cuCIM is a new RAPIDS library for accelerated n-dimensional image processing and image I/O. The project is now publicly available under a permissive...
7 MIN READ