Search Results for author: Esther Yuh

Found 3 papers, 0 papers with code

Semi-supervised learning for generalizable intracranial hemorrhage detection and segmentation

no code implementations3 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.

Computed Tomography (CT) Segmentation

Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection

no code implementations8 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.

Active Learning Computed Tomography (CT)

PatchFCN for Intracranial Hemorrhage Detection

no code implementations8 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.

Computed Tomography (CT) object-detection +3

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