A three-stage pretrained CNN outperforms nnU-Net and Swin-UNETR for CTV and organ-at-risk segmentation in gynecologic brachytherapy CT, with the largest gains attributed to self-supervised pretraining.
Medclip: Contrastive learning from unpaired medical images and text
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A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning
A three-stage pretrained CNN outperforms nnU-Net and Swin-UNETR for CTV and organ-at-risk segmentation in gynecologic brachytherapy CT, with the largest gains attributed to self-supervised pretraining.