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Medical-Scan-Feature-Extraction

The project aims to explore feature extraction methods for high dimensional medical scan data like CT and MRI scans. Medical datasets are often a victim of the "curse of dimensionality". We plan to implement modular pipelines for training and testing various Computer Vision methods to gauge their relevance and practicality in prediction models.

Key Topics

  • Computer Vision
  • Unsupervised Learning
  • Representation Learning
  • Image Classification/Segmentation

Prerequisites

While there are no strict requirements, familiarity with the following will be useful: jupyter notebooks, pytorch, numpy and pandas. Beginners to Deep Learning are welcome to join our team and learn while contributing to the project.

Parting Words

Results are not everything. This may be a fairly long term project with many learnings along the way. Don't expect immediate results and do be ready to work towards a final product.

Project Mentors

Ramanathan Rajaraman Tanmay Devale

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