2 citations · 3 across the 10 of their papers we have counts for
5 papers · 1 filter
Visualizing the Invisible: Enhancing Radiologist Performance in Breast Mammography via Task-Driven Chromatic Encoding
Hui Ye, Shilong Yang, Chulong Zhang +4
Purpose:Mammography screening is less sensitive in dense breasts, where tissue overlap and subtle findings increase perceptual difficulty. We present MammoColor, an end-to-end fram…
Data-Efficient Meningioma Segmentation via Implicit Spatiotemporal Mixing and Sim2Real Semantic Injection
Yunhao Xu, Fuquan Zong, Yexuan Xing +5
The performance of medical image segmentation is increasingly defined by the efficiency of data utilization rather than merely the volume of raw data. Accurate segmentation, partic…
RT-DEMT: A hybrid real-time acupoint detection model combining mamba and transformer
Shilong Yang, Qi Zang, Chulong Zhang +2
Traditional Chinese acupuncture methods often face controversy in clinical practice due to their high subjectivity. Additionally, current intelligent-assisted acupuncture systems h…
Mammo-Clustering: A Multi-views Tri-level Information Fusion Context Clustering Framework for Localization and Classification in Mammography
Shilong Yang, Chulong Zhang, Qi Zang +8
Breast cancer is a significant global health issue, and the diagnosis of breast imaging has always been challenging. Mammography images typically have extremely high resolution, wi…
QUIZ: An Arbitrary Volumetric Point Matching Method for Medical Image Registration
Lin Liu, Xinxin Fan, Haoyang Liu +6
Rigid pre-registration involving local-global matching or other large deformation scenarios is crucial. Current popular methods rely on unsupervised learning based on grayscale sim…