TotalSegmentator + FiftyOne: Debug Medical Segmentation

TotalSegmentator is an open-source tool designed for medical image segmentation, capable of labeling over 100 anatomical structures from CT or MR volumes without requiring per-organ training. Built on the nnU-Net framework, it is compatible with multiple operating systems and offers robust performance across varied scanning protocols. When paired with FiftyOne, another open-source tool from Voxel51, users can visually inspect and evaluate model predictions against ground truth data to identify segmentation failures, specifically for small, low-contrast structures like the pancreas and adrenal glands, which are often masked by high aggregate metrics such as mean Dice. FiftyOne enhances the workflow by allowing users to sort and filter data to uncover model shortcomings and labeling errors, transforming the evaluation process into a comprehensive data audit. Both tools aim to provide deeper insights into model performance, helping users address errors and improve data quality efficiently.

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