2 papers
eess.IV2025
RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT
Yuheng Li, Mingzhe Hu, Richard L. J. Qiu +4
Deep learning-based segmentation of genito-pelvic structures in MRI and CT is crucial for applications such as radiation therapy, surgical planning, and disease diagnosis. However,…
cs.CV2025
Towards Universal Text-driven CT Image Segmentation
Yuheng Li, Yuxiang Lai, Maria Thor +4
Computed tomography (CT) is extensively used for accurate visualization and segmentation of organs and lesions. While deep learning models such as convolutional neural networks (CN…