Usage

This usage gives details of how to use PyMIC. Beginners can easily start with training a deep learning model with configure files. When you are more familar with the PyMIC pipeline, you can define your customized modules and reuse the remaining parts of the pipeline, with minimal workload.

• Quick Start
  • Train and Test
  • Configuration File
  • Evaluation
• Fully Supervised Learning
  • SegmentationAgent
  • Dataset
  • Transforms
  • Networks
  • Loss Functions
  • Training Options
  • Inference Options
• Semi-Supervised Learning
  • SSL Configurations
  • Built-in SSL Methods
  • Customized SSL Methods
• Weakly-Supervised Learning
  • WSL Configurations
  • Built-in WSL Methods
  • Customized WSL Methods
• Noisy Label Learning
  • NLL Configurations
  • Built-in NLL Methods
  • Customized NLL Methods