nnFoundation: 3D Foundation Models for Radiology
How 3D foundation models are overcoming the fragility of task-specific radiological AI.
Radiological artificial intelligence has advanced rapidly, yet most systems remain narrowly task-specific, data-intensive, and fragile under domain shift. Foundation models promise more transferable and data-efficient solutions, but existing approaches are limited in scale, evalu...
ArXiv CS.CV
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The development of 3D foundation models for radiology marks a pivotal shift from narrow, task-specific diagnostic tools to versatile, generalized systems. By mastering volumetric spatial understanding, these models can significantly reduce the data labeling burden and improve clinical reliability across diverse medical imaging sites.
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