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MedAI: Surgical Instrument Recognition with AI

Project Description

MedAI aims to automate surgical instrument recognition using a camera and an AI model.

Objectives

  1. Create a dataset of surgical instrument images.
  2. Develop a machine learning model for instrument classification.
  3. Deploy the model for production use.

Project Benefits

  • Automate tasks
  • Improved efficiency
  • Reduced human errors

Project Limitations

  • Achieving 100% accuracy is challenging.
  • The model's initial capabilities will be limited to instruments in the training dataset.
  • Performance may be affected by image quality, lighting, and irrelevant images.
  • The model may need updates for new instruments or different environments.

Project Stages

  • I made a demo where you can use the model to recognize 5 different surgical instruments here.
  • I've trained several models in TensorFlow, PyTorch, and YOLOv5. For more info, check my code.

medai's People

Contributors

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