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Data Science Project - Ultrasound Nerve Segmentation

In this data science project, you will be working on building a machine learning model that can identify nerve structures in a data set of ultrasound images of the neck. This will help enhance catheter placement and contribute to a more pain free future.

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What will you learn

  • How to decide which segmentation method to use
  • Deciding on data set to be used for segmentation
  • Subjective or objective segmentation
  • Implementation using R or Python
  • Comparison of various model results
  • Model validation

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.


  • Language used: Python

Project Description

Even the bravest patient cringes at the mention of a surgical procedure. Surgery inevitably brings discomfort, and oftentimes involves significant post-surgical pain. Currently, patient pain is frequently managed through the use of narcotics that bring a bevy of unwanted side effects.

This data sciene project's sponsor is working to improve pain management through the use of indwelling catheters that block or mitigate pain at the source. Pain management catheters reduce dependence on narcotics and speed up patient recovery.

Accurately identifying nerve structures in ultrasound images is a critical step in effectively inserting a patient’s pain management catheter. In this data science project in python, we have to build a model that can identify nerve structures in a dataset of ultrasound images of the neck. Doing so would improve catheter placement and contribute to a more pain free future.