2 citations · 5 across the 6 of their papers we have counts for
8 papers
PELE scores: Pelvic X-ray Landmark Detection by Pelvis Extraction and Enhancement
Zhen Huang, Han Li, Shitong Shao +5
The pelvis, the lower part of the trunk, supports and balances the trunk. Landmark detection from a pelvic X-ray (PXR) facilitates downstream analysis and computer-assisted diagnos…
DiffULD: Diffusive Universal Lesion Detection
Peiang Zhao, Han Li, Ruiyang Jin +1
Universal Lesion Detection (ULD) in computed tomography (CT) plays an essential role in computer-aided diagnosis. Promising ULD results have been reported by anchor-based detection…
Mixed-order self-paced curriculum learning for universal lesion detection
Han Li, Hu Han, S. Kevin Zhou
Self-paced curriculum learning (SCL) has demonstrated its great potential in computer vision, natural language processing, etc. During training, it implements easy-to-hard sampling…
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
Xiaohan Xing, Yuenan Hou, Hang Li +3
The amount of medical images for training deep classification models is typically very scarce, making these deep models prone to overfit the training data. Studies showed that know…
Conditional Training with Bounding Map for Universal Lesion Detection
Han Li, Long Chen, Hu Han +1
Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis. Promising ULD results have been reported by coarse-to-fine two-stage de…
Bounding Maps for Universal Lesion Detection
Han Li, Hu Han, S. Kevin Zhou
Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis systems. Many detection approaches achieve excellent results for ULD usi…