Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zhang, Xiaoqing"'
Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse information of images, which may be captured under different times, angles, or modalities. Although several surveys have reviewed the developmen
Externí odkaz:
http://arxiv.org/abs/2403.16502
Information-seeking dialogue systems are widely used in e-commerce systems, with answers that must be tailored to fit the specific settings of the online system. Given the user query, the information-seeking dialogue systems first retrieve a subset o
Externí odkaz:
http://arxiv.org/abs/2404.04272
In the digital world, influencers are pivotal as opinion leaders, shaping the views and choices of their influencees. Modern advertising often follows this trend, where marketers choose appropriate influencers for product endorsements, based on thoro
Externí odkaz:
http://arxiv.org/abs/2403.15105
In the digital era, the rapid propagation of fake news and rumors via social networks brings notable societal challenges and impacts public opinion regulation. Traditional fake news modeling typically forecasts the general popularity trends of differ
Externí odkaz:
http://arxiv.org/abs/2403.09498
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Deep network-based refinement segmentation methods have recently achieved promising vessel-lik
Externí odkaz:
http://arxiv.org/abs/2312.13116
Autor:
Liu, Sihan, Ma, Yiwei, Zhang, Xiaoqing, Wang, Haowei, Ji, Jiayi, Sun, Xiaoshuai, Ji, Rongrong
Referring Remote Sensing Image Segmentation (RRSIS) is a new challenge that combines computer vision and natural language processing, delineating specific regions in aerial images as described by textual queries. Traditional Referring Image Segmentat
Externí odkaz:
http://arxiv.org/abs/2312.12470
Autor:
Jiang, Hongyang, Gao, Mengdi, Liu, Zirong, Tang, Chen, Zhang, Xiaoqing, Jiang, Shuai, Yuan, Wu, Liu, Jiang
Early-stage diabetic retinopathy (DR) presents challenges in clinical diagnosis due to inconspicuous and minute microangioma lesions, resulting in limited research in this area. Additionally, the potential of emerging foundation models, such as the s
Externí odkaz:
http://arxiv.org/abs/2311.08075
Pathological myopia (PM) is the leading ocular disease for impaired vision worldwide. Clinically, the characteristic of pathology distribution in PM is global-local on the fundus image, which plays a significant role in assisting clinicians in diagno
Externí odkaz:
http://arxiv.org/abs/2309.09196
Deep neural networks (DNNs) have promoted the development of computer aided diagnosis (CAD) systems for fundus diseases, helping ophthalmologists reduce missed diagnosis and misdiagnosis rate. However, the majority of CAD systems are data-driven but
Externí odkaz:
http://arxiv.org/abs/2304.12719
Publikováno v:
TNNLS 2024
Spatial attention mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency modeling. However, it may perform poorly in medical image analysis. Un
Externí odkaz:
http://arxiv.org/abs/2303.01917