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Clara Deploy AI Breast [Deprecated]

Logo for Clara Deploy AI Breast [Deprecated]
Clara Deploy AI Breast...
Latest Version
April 4, 2023
Compressed Size
24.19 MB

Clara Deploy SDK is being consolidated into Clara Holoscan SDK

More info

Breast Pathology Image Classification Pipeline

This asset requires the Clara Deploy SDK. Follow the instructions on the Clara Ansible page to install the Clara Deploy SDK.


The Breast Classification pipeline is one of the reference pipelines provided with Clara Deploy SDK. A pre-trained model for classification of the breast from a 256 x 256 PNG image is used in the pipeline. This pipeline depends on the Clara Deploy CLI to send a PNG image and trigger a job.

After an image is classified, the operator saves the output as a new image with the classification label burnt-in on top of the image. If the class category of a specific image is "cancerous", the operator burns in the letter "T" to the upper left corner of the output image, otherwise, the letter "F" is written out.

The name of each output file has the pattern output-<original file name>.png. The output images can be downloaded by Clara CLI and viewed by any PNG image viewer such as GIMP.

Pipeline Definition

The Breast Pathology Image Classification pipeline is defined in the Clara Deploy pipeline definition language. This pipeline utilizes built-in reference containers to construct the following operator:

  • The ai-app-breast operator performs AI inference against the NVIDIA Triton Inference server to generate breast classification images.

The following is the details of pipeline definition, with comments describing each operator's functions as well as input and output.

api-version: 0.4.0
name: breast-pipeline
  - name: ai-app-breast
    description: Classifying Breast Pathology Images
      image: clara/ai-breast
      tag: latest
      gpu: 1
      memory: 8192
    - path: /input
    - path: /output
    - name: trtis
        tag: 20.07-v1-py3
        command: ["tritonserver", "--model-repository=$(NVIDIA_CLARA_SERVICE_DATA_PATH)/models"]
          port: 8000

Executing the Pipeline

Please refer to the Quick Start Guide section on how to run this reference pipeline using local input files.


An End User License Agreement is included with the product. By pulling and using the Clara Deploy asset on NGC, you accept the terms and conditions of these licenses.

Suggested Reading

Release Notes, the Getting Started Guide, and the SDK itself are available at the NVIDIA Developer forum: (

For answers to any questions you may have about this release, visit the NVIDIA Devtalk forum: (