32 citations · 44 across the 14 of their papers we have counts for
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cs.CV2024
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model
Yihao Zhao, Enhao Zhong, Cuiyun Yuan +5
We propose TG-LMM (Text-Guided Large Multi-Modal Model), a novel approach that leverages textual descriptions of organs to enhance segmentation accuracy in medical images. Existing…
cs.CV2024★ 1 cited
Quality assurance of organs-at-risk delineation in radiotherapy
Yihao Zhao, Cuiyun Yuan, Ying Liang +6
The delineation of tumor target and organs-at-risk is critical in the radiotherapy treatment planning. Automatic segmentation can be used to reduce the physician workload and impro…
cs.LG2024★ 32 cited
A Survey of Resource-efficient LLM and Multimodal Foundation Models
Mengwei Xu, Wangsong Yin, Dongqi Cai +15
Large foundation models, including large language models (LLMs), vision transformers (ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine lear…