Welcome to nondefaced-detector’s documentation!

nondefaced-detector is a deep learning framework to detect if a 3D MRI volume has been defaced.

Contents

• User guide
  • 1. Introduction: What is nondefaced-detector?
• API Reference
  • nondefaced_detector.models: Model functions
  • nondefaced_detector.dataloaders: Dataset functions
  • nondefaced_detector.preprocess: Preprocess input volumes
  • nondefaced_detector.preprocessing: Helper functions for the preprocess module
  • nondefaced_detector.training: Training
  • nondefaced_detector.prediction: Making predictions
  • nondefaced_detector.inference: Inference
  • nondefaced_detector.helpers: Helper functions
  • nondefaced_detector.utils: Utility functions
• Changelog
  • Version v0.1.3 (April 16, 2021)

Indices and tables

• Index

• Module Index

• Search Page