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pro vyhledávání: '"ye, Dong"'
Autor:
Huang, Xia, Ye, Dong
In this paper, we show Hardy-Rellich identities for polyharmonic operators $\Delta^m$ and radial Laplacian $\Delta_r^m$ in $\mathbb{R}^n$ with Hardy-H\'enon weight $|x|^\alpha$ for all $m, n\in \mathbb{N}, \alpha\in \mathbb{R}$. Moreover, the iterati
Externí odkaz:
http://arxiv.org/abs/2409.12571
Schizophrenia (SZ) is a severe brain disorder marked by diverse cognitive impairments, abnormalities in brain structure, function, and genetic factors. Its complex symptoms and overlap with other psychiatric conditions challenge traditional diagnosti
Externí odkaz:
http://arxiv.org/abs/2407.19385
Publikováno v:
2024 IEEE International Symposium on Biomedical Imaging (ISBI), May 27-30, 2024, Athens, Greece
Data limitation is a significant challenge in applying deep learning to medical images. Recently, the diffusion probabilistic model (DPM) has shown the potential to generate high-quality images by converting Gaussian random noise into realistic image
Externí odkaz:
http://arxiv.org/abs/2407.00967
Automated retinal image medical description generation is crucial for streamlining medical diagnosis and treatment planning. Existing challenges include the reliance on learned retinal image representations, difficulties in handling multiple imaging
Externí odkaz:
http://arxiv.org/abs/2406.13129
Effectively representing medical images, especially retinal images, presents a considerable challenge due to variations in appearance, size, and contextual information of pathological signs called lesions. Precise discrimination of these lesions is c
Externí odkaz:
http://arxiv.org/abs/2406.13126
Schizophrenia is a debilitating, chronic mental disorder that significantly impacts an individual's cognitive abilities, behavior, and social interactions. It is characterized by subtle morphological changes in the brain, particularly in the gray mat
Externí odkaz:
http://arxiv.org/abs/2406.12683
Autor:
Ying-Lun Zhang, Meng-Jie Wu, Yu Hu, Xiao-Jing Peng, Qian Ma, Cui-Lian Mao, Ye Dong, Zong-Kai Wei, Ying-Qian Gao, Qi-Yu Yao, Jing Yao, Xin-Hua Ye, Ju-Ming Li, Ao Li
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Objective To establish a practical risk stratification system (RSS) based on ultrasonography (US) and clinical characteristics for predicting soft tissue masses (STMs) malignancy. Methods This retrospective multicenter study included patient
Externí odkaz:
https://doaj.org/article/2f7b802d1733432e971f1ffc19ac9745
Autor:
Dong, Hang-Cheng, Jiang, Yuhao, Huang, Yingyan, Liao, Jingxiao, Liu, Bingguo, Ye, Dong, Liu, Guodong
Class activation maps are widely used for explaining deep neural networks. Due to its ability to highlight regions of interest, it has evolved in recent years as a key step in weakly supervised learning. A major limitation to the performance of the c
Externí odkaz:
http://arxiv.org/abs/2308.02118