14 citations · 15 across the 8 of their papers we have counts for
8 papers
Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound
Jiajun Zeng, Dong Ni, Ruobing Huang
Breast lesion segmentation from breast ultrasound (BUS) videos could assist in early diagnosis and treatment. Existing video object segmentation (VOS) methods usually require dense…
TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
Yinyu Ye, Shijing Chen, Dong Ni +1
Different diseases, such as histological subtypes of breast lesions, have severely varying incidence rates. Even trained with substantial amount of in-distribution (ID) data, model…
One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning
Jiayu Peng, Jiajun Zeng, Manlin Lai +3
Objective: Ultrasound (US) examination has unique advantages in diagnosing carpal tunnel syndrome (CTS) while identifying the median nerve (MN) and diagnosing CTS depends heavily o…
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation
Ao Chang, Xing Tao, Xin Yang +5
Interactive medical image segmentation refers to the accurate segmentation of the target of interest through interaction (e.g., click) between the user and the image. It has been w…
Hierarchical Agent-based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video
Sijing Liu, Qilong Ying, Shuangchi He +3
Ultrasound is the primary modality to examine fetal growth during pregnancy, while the image quality could be affected by various factors. Quality assessment is essential for contr…
Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images
Van T. Manh, Jianqiao Zhou, Xiaohong Jia +7
Ultrasound (US) is the primary imaging technique for the diagnosis of thyroid cancer. However, accurate identification of nodule malignancy is a challenging task that can elude les…