2 papers
cs.CV2026
Instance-Guided Report Anchoring for Text-Free 3D Abnormality Segmentation in Chest CT
Zhenyu Bu, Haoyan Ding, Chushu Shen +7
Accurate 3D abnormality segmentation in chest CT requires dense spatial supervision, but obtaining expert voxel-level labels is costly. Radiology reports, however, are routinely ge…
cs.CV2025
Evaluating unsupervised contrastive learning framework for MRI sequences classification
Yuli Wang, Kritika Iyer, Sep Farhand +1
The automatic identification of Magnetic Resonance Imaging (MRI) sequences can streamline clinical workflows by reducing the time radiologists spend manually sorting and identifyin…