MedicalTorch is an open-source framework for PyTorch, implementing an extensive set of loaders, pre-processors and datasets for medical imaging.

Contents:

• Rationale & Philosophy
• Changelog
  • Release v.0.2
  • Release v.0.1
• Getting Started
  • Installation
  • Tutorials
  • Architecture
• Examples
  • U-Net with GM Segmentation Challenge
  • Dataloader Tutorial for NIFTI images
• API Documentation
  • medicaltorch.datasets – Datasets
  • medicaltorch.transforms – Transformations
  • medicaltorch.metrics – Metrics
  • medicaltorch.models – Models
  • medicaltorch.losses – Losses
• Contributors
• Contribute or Report a bug
• License

Indices and tables

• Index
• Module Index
• Search Page