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Using Extensions

Key Investigators

Project Description

Supervised machine learning methods require an input image with a corresponding mask for training a network. Currently, the Volume Clip extension is used with the Scene Views module to create these masks, but it is a multi-step process. This project will focus on automating these steps to create masks for applicators in 2D ultrasound liver images.

Objective

  1. Create a module that outputs masks for machine learning applications

Approach and Plan

  1. Dedicate time to learning
  2. Talking to more knowledgable people

Progress and Next Steps

Illustrations

Inputs to the module are an ultrasound image with a point on the shaft and a point on the tip: Inputs to the module are an ultrasound image with a point on the shaft and a point on the tip

Outputs to the module are a mask that can be used for supervised machine learning: Outputs to the module are a mask that can be used for supervised machine learning

TODO: Occasionally the VolumeClip does not fill the entire model: TODO: Occasionally the VolumeClip does not fill the entire model

Background and References