Juhl Kang

  • 5% and an area under the curve (AUC) of 0.933. The capsule network using the DenseNet121 block demonstrated better performance for slice-level prediction, with an accuracy of 97.1% and AUC of 0.992. For both datasets, the prediction accuracy of our pipeline was 100% at the patient level.

    The proposed fully automatic deep learning pipeline…[Read more]

  • Juhl Kang posted an update 1 week ago

    During the procedure, the material migrated into the intracranial vessels via an undetected transdural anastomosis. Postoperatively, no new neurological abnormalities, including hemiparesis, were observed. Two months later, CT showed a decrease in hematoma size.

    MMA embolization for cSDH in pediatric patients with VAD may be effective, if…[Read more]

  • Juhl Kang became a registered member 1 week ago