1 citations · 2 across the 4 of their papers we have counts for
4 papers
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis
Mingyuan Liu, Lu Xu, Shengnan Liu +1
The success of Large Vision Models (LVMs) is accompanied by vast data volumes, which are prohibitively expensive in medical diagnosis.To address this, recent efforts exploit Parame…
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis
Mingyuan Liu, Lu Xu, Jicong Zhang
Fueled by deep learning, computer-aided diagnosis achieves huge advances. However, out of controlled lab environments, algorithms could face multiple challenges. Open set recogniti…
Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images
Yanchao Yuan, Cancheng Li, Lu Xu +3
Carotid arteries vulnerable plaques are a crucial factor in the screening of atherosclerosis by ultrasound technique. However, the plaques are contaminated by various noises such a…
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection
Abdullah F. Al-Battal, Yan Gong, Lu Xu +6
Ultrasound scanning is essential in several medical diagnostic and therapeutic applications. It is used to visualize and analyze anatomical features and structures that influence t…