2 papers
eess.IV2024
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
Suruchi Kumari, Aryan Das, Swalpa Kumar Roy +2
Traditional supervised 3D medical image segmentation models need voxel-level annotations, which require huge human effort, time, and cost. Semi-supervised learning (SSL) addresses…
eess.IV2024
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
Suruchi Kumari, Pravendra Singh
Semi-supervised medical image segmentation has gained growing interest due to its ability to utilize unannotated data. The current state-of-the-art methods mostly rely on pseudo-la…