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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
Extension for 3D Slicer for running MONAI Auto3DSeg models
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …