NGC | Catalog


Logo for VISTA-3D
The Versatile Imaging SegmenTation and Annotation (VISTA) model combines semantic segmentation with interactivity, offering high accuracy and adaptability across diverse anatomical areas for medical imaging.
November 28, 2023

Model Overview


VISTA-3D is a specialized interactive foundation model for segmenting and anotating human anatomies.

VISTA-3D has three (3) core workflows:

  • Segment everything: Enables whole body exploration, crucial for understanding complex diseases affecting multiple organs and for holistic treatment planning.
  • Segment using class: Provides detailed sectional views based on specific classes, essential for targeted disease analysis or organ mapping, such as tumor identification in critical organs.
  • Segment point prompts: Enhances segmentation precision through user-directed, click-based selection. This interactive approach accelerates the creation of accurate ground-truth data, essential in medical imaging analysis.

Terms of use

By accessing this model, you are agreeing to the license

Model Architecture:

Architecture Type: Transformer
Network Architecture: Custom, Multi-Head Structure


Input Type(s): CT Image
Input Format(s): NIfTI (Neuroimaging Informatics Technology Initiative)
Input Parameters: Three Dimensional (3D)
Other Properties Related to Input: Array of Class/Point Information


Output Type(s): Image
Output Format: NIfTI
Output Parameters: 3D

Software Integration:

Supported Hardware Microarchitecture Compatibility: Ampere, Hopper
Supported Operating System(s): Linux


Engine: Triton

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here.