Unsupervised anomaly detection framework for pelvic and brain MRI reports AUC 0.97 and 0.81 on synthetic and clinical anomalies with spatial localization.
The Evolving Role of Artificial Intelligence in Radiotherapy Treatment Planning—A Literature Review
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.med-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Catching MRI outliers: unsupervised detection and localization of MRI artefacts and clinical anomalies using deep learning
Unsupervised anomaly detection framework for pelvic and brain MRI reports AUC 0.97 and 0.81 on synthetic and clinical anomalies with spatial localization.