Shypd.aiThe largest open index of AI toolsnnDetection is a self-configuring framework for 3D medical object detection, automating the configuration process for medical imaging analysis. It adapts to new datasets without manual intervention, providing guides for 12 datasets.
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nnDetection is a self-configuring framework designed for 3D (volumetric) medical object detection, addressing the challenge of cumbersome method configuration in medical image analysis. Following the success of nnU-Net for image segmentation, nnDetection systematizes and automates the configuration process, allowing it to adapt to arbitrary medical detection problems without manual intervention. It achieves results comparable to or superior to state-of-the-art methods. The framework includes guides for 12 datasets used in its development and evaluation, such as ADAM and LUNA16, and supports easy integration of new datasets through a standardized input format. It is built with Python 3.8+, PyTorch, and uses Docker for easy deployment.
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