SAMITorch 0.1

Deep Learning Framework For Medical Image Analysis

Welcome to SAMITorch

SAMITorch is a deep learning framework for Shape Analysis in Medical Imaging laboratory of École de technologie supérieure using PyTorch library. It implements an extensive set of loaders, transformers, models and data sets suited for deep learning in medical imaging. Our objective is to build a tested, standard framework for quickly producing results in deep learning reasearch applied to medical imaging.

Table Of Contents

• Authors
• References
• Project architecture
  • Folder structure
  • Main Components
    • Models
    • Trainers
    • Transformers
    • Logger
    • Configuration
    • Main
• Contributing
• Acknowledgments

Authors

• Pierre-Luc Delisle - pldelisle
• Benoit Anctil-Robitaille - banctilrobitaille

References

Segmentation

Diffusion imaging

Application

Main components

Models

Trainers

Transformers

Logger

Configs

Main

Contributing

If you find a bug or have an idea for an improvement, please first have a look at our contribution guideline. Then,

Acknowledgment

Thanks to École de technologie supérieure, Hervé Lombaert and Christian Desrosiers for providing us a lab and helping us in our research activities.