8 citations · 13 across the 6 of their papers we have counts for
6 papers
Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations
Qingde Li, Qingqi Hong, Zihan Li +1
A fundamental challenge in artificial intelligence is the transformation of observations into explicit symbolic representations suitable for abstraction, interpretation, and reason…
ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding
Zihan Li, Yuan Zheng, Xiangde Luo +2
Medical image segmentation plays a critical role in clinical decision-making, treatment planning, and disease monitoring. However, accurate segmentation of medical images is challe…
Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment
Dandan Shan, Zihan Li, Wentao Chen +3
Segmentation of COVID-19 lesions can assist physicians in better diagnosis and treatment of COVID-19. However, there are few relevant studies due to the lack of detailed informatio…
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
Zihan Li, Dihan Li, Cangbai Xu +4
Medical image segmentation is one of the most fundamental tasks concerning medical information analysis. Various solutions have been proposed so far, including many deep learning-b…
LViT: Language meets Vision Transformer in Medical Image Segmentation
Zihan Li, Yunxiang Li, Qingde Li +6
Deep learning has been widely used in medical image segmentation and other aspects. However, the performance of existing medical image segmentation models has been limited by the c…
A New ECOC Algorithm for Multiclass Microarray Data Classification
Mengxin Sun, Kunhong Liu, Qingqi Hong +1
The classification of multi-class microarray datasets is a hard task because of the small samples size in each class and the heavy overlaps among classes. To effectively solve thes…