4 citations · 4 across the 2 of their papers we have counts for
3 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…
eess.IV2023★ 4 cited
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari, Pravendra Singh
The rapid evolution of deep learning has significantly advanced the field of medical image analysis. However, despite these achievements, the further enhancement of deep learning m…