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Found 4 papers, 2 papers with code
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
The precise delineation of Gross Tumor Volumes (GTVs) and Organs-At-Risk (OARs) is crucial in radiation treatment, directly impacting patient prognosis.
Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals
We collect a large-scale clinical dataset comprising 1057 NPC patients from five hospitals to validate our approach.
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
Our method is verified on these datasets, and experimental results exhibit that the VIS-Net can significantly outperform existing state-of-the-art referring segmentation methods.
Dynamic Interactive Relation Capturing via Scene Graph Learning for Robotic Surgical Report Generation
For robot-assisted surgery, an accurate surgical report reflects clinical operations during surgery and helps document entry tasks, post-operative analysis and follow-up treatment.
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