Getting started
Let’s install medigan and generate a few synthetic images.
pip install medigan
from medigan import Generators
Generators.generate(model_id="00001_DCGAN_MMG_CALC_ROI")
Overview
Overview of medigan users, library, and models on the example of mammography cancer image dataset generation.
Code Examples
Modules
Tests
- Tests
- Setup medigan for running tests
- Test 1: test_medigan_imports
- Test 2: test_init_generators
- Test 3: test_generate_methods
- Test 4: test_generate_methods_with_additional_args
- Test 5: test_get_generate_method
- Test 6: test_search_for_models_method
- Test 7: test_find_model_and_generate_method
- Test 8: test_rank_models_by_performance
- Test 9: test_find_and_rank_models_by_performance
- Test 10: test_find_and_rank_models_then_generate_method
- Test 11: test_get_models_by_key_value_pair
Models