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MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
Junyu Li, Han Huang, Dong Ni +3
Early diagnosis of renal cancer can greatly improve the survival rate of patients. Contrast-enhanced ultrasound (CEUS) is a cost-effective and non-invasive imaging technique and ha…
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis
Jiamin Liang, Xin Yang, Yuhao Huang +7
Ultrasound (US) imaging is widely used for anatomical structure inspection in clinical diagnosis. The training of new sonographers and deep learning based algorithms for US image a…
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images
Kai-Ni Wang, Xin Yang, Juzheng Miao +7
Multi-sequence cardiac magnetic resonance (CMR) provides essential pathology information (scar and edema) to diagnose myocardial infarction. However, automatic pathology segmentati…
Steerable Pyramid Transform Enables Robust Left Ventricle Quantification
Xiangyang Zhu, Kede Ma, Wufeng Xue
Predicting cardiac indices has long been a focal point in the medical imaging community. While various deep learning models have demonstrated success in quantifying cardiac indices…
Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip
Xindi Hu, Limin Wang, Xin Yang +9
The ultrasound (US) screening of the infant hip is vital for the early diagnosis of developmental dysplasia of the hip (DDH). The US diagnosis of DDH refers to measuring alpha and…
Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound
Xin Yang, Haoran Dou, Ruobing Huang +9
Accurate standard plane (SP) localization is the fundamental step for prenatal ultrasound (US) diagnosis. Typically, dozens of US SPs are collected to determine the clinical diagno…
Style-invariant Cardiac Image Segmentation with Test-time Augmentation
Xiaoqiong Huang, Zejian Chen, Xin Yang +5
Deep models often suffer from severe performance drop due to the appearance shift in the real clinical setting. Most of the existing learning-based methods rely on images from mult…
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
Wang Jian, Miao Juzheng, Yang Xin +9
Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wa…
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
Haoran Dou, Xin Yang, Jikuan Qian +8
Standard plane localization is crucial for ultrasound (US) diagnosis. In prenatal US, dozens of standard planes are manually acquired with a 2D probe. It is time-consuming and oper…
Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN
Xumin Tao, Hongrong Wei, Wufeng Xue +1
Myocardium segmentation of late gadolinium enhancement (LGE) Cardiac MR images is important for evaluation of infarction regions in clinical practice. The pathological myocardium i…