3 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
Fast Multi-Organ Fine Segmentation in CT Images with Hierarchical Sparse Sampling and Residual Transformer
Xueqi Guo, Halid Ziya Yerebakan, Yoshihisa Shinagawa +2
Multi-organ segmentation of 3D medical images is fundamental with meaningful applications in various clinical automation pipelines. Although deep learning has achieved superior per…
cs.CV2025
BodyGPS: Anatomical Positioning System
Halid Ziya Yerebakan, Kritika Iyer, Xueqi Guo +2
We introduce a new type of foundational model for parsing human anatomy in medical images that works for different modalities. It supports supervised or unsupervised training and c…