Toolkit Support Matrix

This support matrix provides a comprehensive overview of the NVIDIA MONAI Toolkit ecosystem. It includes information on software versions, available pre-trained models, and supported viewers, modalities, and applications. Use this matrix as a reference to ensure compatibility and to explore the full capabilities of the NVIDIA MONAI Toolkit.

Last Updated: June 2024

Software Versions

Package/Tool/Library	Version
MONAI Toolkit Version	2.0
MONAI Label	0.8.3
MONAI Core	1.3.1
NVIDIA AI Enterprise (NVAIE)	5.0
PyTorch Container	24.03.02
PyTorch	2.3.0a0+40ec155e58.nv24.3.2
CUDA	12.4.0
Docker	>=19.03
TensorRT	8.6.3
Torch-TensorRT	2.3.0a0

Pre-trained Models

Models
monai_brats_mri_axial_slices_generative_diffusion
monai_brats_mri_generative_diffusion
monai_brats_mri_segmentation
monai_endoscopic_inbody_classification
monai_endoscopic_tool_segmentation
monai_lung_nodule_ct_detection
monai_pancreas_ct_dints_segmentation
monai_pathology_nuclei_classification
monai_pathology_nuclei_segmentation_classification
monai_pathology_nuclick_annotation
monai_pathology_tumor_detection
monai_spleen_ct_segmentation
monai_spleen_deepedit_annotation
monai_swin_unetr_btcv_segmentation
monai_wholeBody_ct_segmentation

Viewers, Modalities and Applications

Field	Viewers	Image Modalities/Target	Applications
Radiology	3DSlicer, OHIF	CT, MRI	3D Segmentation, Detection, Registration, Reconstruction, and Segmentation with Registration
Pathology	QuPath	WSI, Nuclei	Segmentation and Classification
Endoscopy	CVAT	2D Endoscopic Imaging	Segmentation

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