Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Shang, Fangxin"'
Autor:
Huang, Xiaoshuang, Shen, Lingdong, Liu, Jia, Shang, Fangxin, Li, Hongxiang, Huang, Haifeng, Yang, Yehui
In recent years, Multimodal Large Language Models (MLLM) have achieved notable advancements, demonstrating the feasibility of developing an intelligent biomedical assistant. However, current biomedical MLLMs predominantly focus on image-level underst
Externí odkaz:
http://arxiv.org/abs/2412.09278
Autor:
Huang, Xiaoshuang, Huang, Haifeng, Shen, Lingdong, Yang, Yehui, Shang, Fangxin, Liu, Junwei, Liu, Jia
With the rapid development of multimodal large language models (MLLMs), especially their capabilities in visual chat through refer and ground functionalities, their significance is increasingly recognized. However, the biomedical field currently exhi
Externí odkaz:
http://arxiv.org/abs/2406.18146
Autor:
Shen, Lingdong, Shang, Fangxin, Huang, Xiaoshuang, Yang, Yehui, Huang, Haifeng, Xiang, Shiming
In the field of medical image segmentation, tackling Out-of-Distribution (OOD) segmentation tasks in a cost-effective manner remains a significant challenge. Universal segmentation models is a solution, which aim to generalize across the diverse moda
Externí odkaz:
http://arxiv.org/abs/2403.16578
Large-scale public datasets with high-quality annotations are rarely available for intelligent medical imaging research, due to data privacy concerns and the cost of annotations. In this paper, we release SynFundus-1M, a high-quality synthetic datase
Externí odkaz:
http://arxiv.org/abs/2312.00377
Autor:
Wu, Junde, Fang, Huihui, Shang, Fangxin, Yang, Dalu, Wang, Zhaowei, Gao, Jing, Yang, Yehui, Xu, Yanwu
Clinically, the accurate annotation of lesions/tissues can significantly facilitate the disease diagnosis. For example, the segmentation of optic disc/cup (OD/OC) on fundus image would facilitate the glaucoma diagnosis, the segmentation of skin lesio
Externí odkaz:
http://arxiv.org/abs/2206.05763
Autor:
Wu, Junde, Fang, Huihui, Shang, Fangxin, Wang, Zhaowei, Yang, Dalu, Zhou, Wenshuo, Yang, Yehui, Xu, Yanwu
The segmentation of optic disc(OD) and optic cup(OC) from fundus images is an important fundamental task for glaucoma diagnosis. In the clinical practice, it is often necessary to collect opinions from multiple experts to obtain the final OD/OC annot
Externí odkaz:
http://arxiv.org/abs/2206.05092
Pre-training is essential to deep learning model performance, especially in medical image analysis tasks where limited training data are available. However, existing pre-training methods are inflexible as the pre-trained weights of one model cannot b
Externí odkaz:
http://arxiv.org/abs/2206.03661
We present an effective method for Intracranial Hemorrhage Detection (IHD) which exceeds the performance of the winner solution in RSNA-IHD competition (2019). Meanwhile, our model only takes quarter parameters and ten percent FLOPs compared to the w
Externí odkaz:
http://arxiv.org/abs/2205.07556
Autor:
Wu, Junde, Fang, Huihui, Yang, Dalu, Wang, Zhaowei, Zhou, Wenshuo, Shang, Fangxin, Yang, Yehui, Xu, Yanwu
With the advancement of deep learning techniques, an increasing number of methods have been proposed for optic disc and cup (OD/OC) segmentation from the fundus images. Clinically, OD/OC segmentation is often annotated by multiple clinical experts to
Externí odkaz:
http://arxiv.org/abs/2202.06505
Publikováno v:
In American Journal of Orthodontics & Dentofacial Orthopedics August 2024 166(2):112-124
