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AI Medical Image Validation Platform

In real world, the accuracy and safety of artificial intelligence software for clinical medical image is highly required. We designed and developed a platform which implemented the adversarial examples attack and generate the commone artifact on medical image to validate the robustness of the AI model. The prototype of this platform is planning to release in 2023 Q4 to 2024 Q1.

技術服務 – 生醫智慧計算實驗室 (CIBDS Lab) (nycu.edu.tw)

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