cherise215/advchain
[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)
This project helps medical imaging specialists improve the accuracy and robustness of their AI models for tasks like segmenting tumors or organs. It takes medical images as input and generates synthetic, subtly altered versions that challenge the AI model, helping it learn to recognize features more reliably. Radiologists, clinical researchers, and AI developers in healthcare would use this to refine their diagnostic tools.
No commits in the last 6 months.
Use this if you need to make your medical image analysis AI models more generalizable and less prone to errors on real-world patient data.
Not ideal if you are working with non-medical images or if your primary goal is not to enhance the robustness of AI segmentation models.
Stars
57
Forks
7
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Jan 26, 2023
Commits (30d)
0
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