Shypd.aiThe largest open index of AI toolsMedicalDetectionToolkit is an open-source framework providing 2D and 3D implementations of object detectors like Mask R-CNN and Retina Net. It offers a training and inference framework specifically designed for medical images.
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The Medical Detection Toolkit is an open-source framework offering 2D and 3D implementations of prevalent object detectors, including Mask R-CNN, Retina Net, and Retina U-Net. It provides a comprehensive training and inference framework tailored for medical images, supporting both bounding box and pixel-wise annotations. Key features include dynamic patching and tiling for 2D and 3D images, weighted consolidation of box predictions, and monitoring and evaluation on both object and patient levels. The toolkit also integrates COCO mean average precision metric and MIC-DKFZ batch generators for extensive data augmentation. While no longer maintained, it serves as a foundational resource for medical object detection research.
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