5 papers
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
Ziwei Zhao, Zhixing Zhang, Yuhang Liu +4
In the field of 3D medical imaging, accurately extracting and representing the blood vessels with curvilinear structures holds paramount importance for clinical diagnosis. Previous…
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
Zhao Zhang, Ziwei Zhao, Dong Wang +1
Accurately restoring topology is both challenging and crucial in tubular structure extraction tasks, such as blood vessel segmentation and road network extraction. Diverging from t…
A Foundational Generative Model for Breast Ultrasound Image Analysis
Haojun Yu, Youcheng Li, Nan Zhang +20
Foundational models have emerged as powerful tools for addressing various tasks in clinical settings. However, their potential development to breast ultrasound analysis remains unt…
LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier
Haojun Yu, Di Dai, Ziwei Zhao +3
Scaling up the vocabulary of semantic segmentation models is extremely challenging because annotating large-scale mask labels is labour-intensive and time-consuming. Recently, lang…
Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses
Haojun Yu, Youcheng Li, Nan Zhang +17
Data-driven deep learning models have shown great capabilities to assist radiologists in breast ultrasound (US) diagnoses. However, their effectiveness is limited by the long-tail…