no code implementations • 3 May 2021 • Emily Lin, Esther Yuh
Purpose: To develop and evaluate a semi-supervised learning model for intracranial hemorrhage detection and segmentation on an out-of-distribution head CT evaluation set.
no code implementations • 8 Sep 2018 • Wei-cheng Kuo, Christian Häne, Esther Yuh, Pratik Mukherjee, Jitendra Malik
Deep learning for clinical applications is subject to stringent performance requirements, which raises a need for large labeled datasets.
no code implementations • 8 Jun 2018 • Wei-cheng Kuo, Christian Häne, Esther Yuh, Pratik Mukherjee, Jitendra Malik
This paper studies the problem of detecting and segmenting acute intracranial hemorrhage on head computed tomography (CT) scans.