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Found 3 papers, 1 papers with code
Identifying Tension in Holocaust Survivors’ Interview: Code-switching/Code-mixing as Cues
Our CS/CM annotated interview corpus is openly accessible.
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis.
Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net
Accurate segmentation of organ at risk (OAR) play a critical role in the treatment planning of image guided radiation treatment of head and neck cancer.
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