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Automated classification of multi-parametric body MRI series
In this pilot work, we propose an automated framework to classify the type of 8 different series in mpMRI studies.
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
In order to reduce clinician oversight and ensure the validity of the DICOM headers, we propose an automated method to classify the 3D MRI sequence acquired at the levels of the chest, abdomen, and pelvis.
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