While there are models for analyzing static images such as CT images, analyzing endoscopic data is difficult because the data is in the form of a video.

use case

  • Using the NeoPulse® video analysis capabilities, a model was created to analyze endoscopic data
  • In real-time, endoscopy data was fed into the model and a diagnosis was made along with associated accuracy

How to Customize

  • To build a customized version of this model, NeoPulse® will need a large enough sample of endoscopy videos for each label (ex. Pathological vs. Non-pathological)
  • Applicable to clinical/diagnostic and research areas
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Seong-jin Kim
Hyundai Elevator

We were able to successfully train an AI model to recognize complex industrial parts using Neopulse 3.0 on AWS. The AI solution was built very quickly and was able to recognize objects in unpredictable, real-world environments with high accuracy.

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Serena Miran
Megazone Cloud

Everybody seems confident in AI, and they actually enjoy solving various AI problems.

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Balachandran Rajendran
Dell, Unstructured Data Solutions

The vendor’s services are integral to providing AI solutions for a wider audience. They had an effective project management style, accented by a quick working style.

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