14 citations · 14 across the 5 of their papers we have counts for
6 papers
Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound
Shijing Chen, Xinrui Zhou, Yuhao Wang +4
Accurate identification of breast lesion subtypes can facilitate personalized treatment and interventions. Ultrasound (US), as a safe and accessible imaging modality, is extensivel…
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
Ao Chang, Jiajun Zeng, Ruobing Huang +1
Convolutional neural networks have primarily led 3D medical image segmentation but may be limited by small receptive fields. Transformer models excel in capturing global relationsh…
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
Xinrui Zhou, Yuhao Huang, Haoran Dou +13
In the medical field, the limited availability of large-scale datasets and labor-intensive annotation processes hinder the performance of deep models. Diffusion-based generative au…
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…