152 citations · 289 across the 25 of their papers we have counts for
5 papers · 2 filters
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels
Jiahua Dong, Yue Zhang, Qiuli Wang +7
Medical image segmentation is crucial in the field of medical imaging, aiding in disease diagnosis and surgical planning. Most established segmentation methods rely on supervised d…
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
Shuyi Ouyang, Hongyi Wang, Ziwei Niu +6
The task of multi-label image classification involves recognizing multiple objects within a single image. Considering both valuable semantic information contained in the labels and…
A Survey on Domain Generalization for Medical Image Analysis
Ziwei Niu, Shuyi Ouyang, Shiao Xie +2
Medical Image Analysis (MedIA) has emerged as a crucial tool in computer-aided diagnosis systems, particularly with the advancement of deep learning (DL) in recent years. However,…
Memory-Inspired Temporal Prompt Interaction for Text-Image Classification
Xinyao Yu, Hao Sun, Ziwei Niu +4
In recent years, large-scale pre-trained multimodal models (LMM) generally emerge to integrate the vision and language modalities, achieving considerable success in various natural…
M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images
Hongyi Wang, Xiuju Du, Jing Liu +3
The advancement of Spatial Transcriptomics (ST) has facilitated the spatially-aware profiling of gene expressions based on histopathology images. Although ST data offers valuable i…