Image Classification you own this product

prerequisites
intermediate Python, particularly TensorFlow or PyTorch • intermediate knowledge of image classification principles • Intermediate knowledge of image visualization
skills learned
set up training, test, and validation datasets with biomedical (MRI) images • train and evaluate a vision transformer model for brain tumor classification
Anuradha Kar
1 week · 2-4 hours per week · INTERMEDIATE
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In this liveProject, you’ll join BrainAI’s MRI data analysis team. BrainAI needs you to develop a state-of-the-art AI module utilizing vision transformer models to detect brain tumors with exceptional accuracy. Armed with Python tools like Hugging Face Transformers, PyTorch, and more, you'll detect the presence or absence of tumors within human-brain MRI datasets. With Google Colab's GPU computing resources, you'll utilize deep learning to try and achieve a 95%+ accuracy rate.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Anuradha Kar
Anuradha Kar is a Postdoctoral researcher at École normale supérieure de Lyon, and works in collaboration with the research institutes INRAE and INRIA in France. Her current research is on the application of deep learning algorithms for deriving quantitative information from microscopy image datasets. This is used by biologists to analyze cellular developmental processes in plants and animals. She has a PhD in electrical engineering from the National University of Ireland, Galway. Her research centers on vision sensors, artificial intelligence and computer vision. She has published on deep learning, human-computer interactions and sensor evaluation techniques.

prerequisites

This liveProject series is aimed at intermediate-level Python programmers who already know the basics of deep learning and computer vision.


TOOLS
  • Intermediate Python
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  • Intermediate TensorFlow
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  • Intermediate OpenCV

TECHNIQUES
  • Intermediate levels of deep learning and image classification
  • Intermediate levels of data science

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