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Morning Edition · Friday, September 25, 2026Published at 9:31 AM EDT · New York
MIT Group Trains a Universal X-Ray Segmenter on Physics-Simulated Radiographs
FleXray predicts 60 anatomical structures on real clinical X-rays after training on synthetic projections generated from existing 3D computed tomography segmentations.
Researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts General Hospital and Harvard Medical School published FleXray, a single model that segments 60 anatomical structures across the whole body…
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Part of a tracked trend
Open-Vocabulary, Promptable Vision Foundation Models
Vision foundation models shift to text-promptable, open-vocabulary detection, segmentation, and real-time tracking of arbitrary concepts, generalizing perception beyond fixed label sets across images and video and pushing open perception models toward production use.
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