1 citations · 1 across the 10 of their papers we have counts for
5 papers · 1 filter
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
Junjie Zhou, Wei Shao, Yagao Yue +4
Prompt learning has emerged as a promising paradigm for adapting pre-trained vision-language models (VLMs) to few-shot whole slide image (WSI) classification by aligning visual fea…
HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
Chuhang Zheng, Chunwei Tian, Jie Wen +2
Multi-modal emotion recognition has garnered increasing attention as it plays a significant role in human-computer interaction (HCI) in recent years. Since different discrete emoti…
PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning
Junjie Zhou, Yingli Zuo, Shichang Feng +4
With the development of generative artificial intelligence and instruction tuning techniques, multimodal large language models (MLLMs) have made impressive progress on general reas…
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation
Dingwei Fan, Junyong Zhao, Chunlin Li +5
Spine image segmentation is crucial for clinical diagnosis and treatment of spine diseases. The complex structure of the spine and the high morphological similarity between individ…
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction
Junjie Zhou, Shouju Wang, Yuxia Tang +3
The prediction of nanoparticles (NPs) distribution is crucial for the diagnosis and treatment of tumors. Recent studies indicate that the heterogeneity of tumor microenvironment (T…