Segmenting with confidence through uncertainty quantification for brain tumor imaging.

A major barrier to clinical adoption of artificial intelligence (AI) for brain tumor monitoring is the lack of calibrated uncertainty in automated segmentation, limiting clinician trust. We developed a deep learning framework that generates uncertainty estimates for meningioma...

• Source: Radiology AI literature (PubMed) (AI)
• Type: Research

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.