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Found 2 papers, 1 papers with code
Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods
We show that these simple methods can be more accurate in detecting small lesions and are considerably easier to train and comprehend.
Towards a New Science of a Clinical Data Intelligence
We argue that a science of a Clinical Data Intelligence is sensible in the context of a Big Data analysis, i. e., with data from many patients and with complete patient information.
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