Zobrazeno 1 - 10
of 705
pro vyhledávání: '"Chen, Ruoyu"'
Autor:
Chen, Ruoyu, Zhang, Weiyi, Liu, Bowen, Chen, Xiaolan, Xu, Pusheng, Liu, Shunming, He, Mingguang, Shi, Danli
The rising prevalence of vision-threatening retinal diseases poses a significant burden on the global healthcare systems. Deep learning (DL) offers a promising solution for automatic disease screening but demands substantial data. Collecting and labe
Externí odkaz:
http://arxiv.org/abs/2411.10004
Autor:
Chen, Xiaolan, Chen, Ruoyu, Xu, Pusheng, Zhang, Weiyi, Shang, Xianwen, He, Mingguang, Shi, Danli
Accurate diagnosis of ophthalmic diseases relies heavily on the interpretation of multimodal ophthalmic images, a process often time-consuming and expertise-dependent. Visual Question Answering (VQA) presents a potential interdisciplinary solution by
Externí odkaz:
http://arxiv.org/abs/2410.16662
Autor:
Zhang, Weiyi, Yang, Jiancheng, Chen, Ruoyu, Huang, Siyu, Xu, Pusheng, Chen, Xiaolan, Lu, Shanfu, Cao, Hongyu, He, Mingguang, Shi, Danli
Fundus fluorescein angiography (FFA) is crucial for diagnosing and monitoring retinal vascular issues but is limited by its invasive nature and restricted accessibility compared to color fundus (CF) imaging. Existing methods that convert CF images to
Externí odkaz:
http://arxiv.org/abs/2410.13242
Autor:
Zhang, Weiyi, Huang, Siyu, Yang, Jiancheng, Chen, Ruoyu, Ge, Zongyuan, Zheng, Yingfeng, Shi, Danli, He, Mingguang
Fundus Fluorescein Angiography (FFA) is a critical tool for assessing retinal vascular dynamics and aiding in the diagnosis of eye diseases. However, its invasive nature and less accessibility compared to Color Fundus (CF) images pose significant cha
Externí odkaz:
http://arxiv.org/abs/2408.15217
Ultrawide-field fluorescein angiography (UWF-FA) facilitates diabetic retinopathy (DR) detection by providing a clear visualization of peripheral retinal lesions. However, the intravenous dye injection with potential risks hamper its application. We
Externí odkaz:
http://arxiv.org/abs/2408.10636
Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling
Human-in-the-loop (HITL) strategy has been recently introduced into the field of medical image processing. Indocyanine green angiography (ICGA) stands as a well-established examination for visualizing choroidal vasculature and detecting chorioretinal
Externí odkaz:
http://arxiv.org/abs/2406.01993
Autor:
Liang, Siyuan, Wang, Wei, Chen, Ruoyu, Liu, Aishan, Wu, Boxi, Chang, Ee-Chien, Cao, Xiaochun, Tao, Dacheng
With the emergence of foundation models, deep learning-based object detectors have shown practical usability in closed set scenarios. However, for real-world tasks, object detectors often operate in open environments, where crucial factors (e.g., dat
Externí odkaz:
http://arxiv.org/abs/2403.16271
Image attribution algorithms aim to identify important regions that are highly relevant to model decisions. Although existing attribution solutions can effectively assign importance to target elements, they still face the following challenges: 1) exi
Externí odkaz:
http://arxiv.org/abs/2402.09164
Cross-lingual named entity recognition (CrossNER) faces challenges stemming from uneven performance due to the scarcity of multilingual corpora, especially for non-English data. While prior efforts mainly focus on data-driven transfer methods, a sign
Externí odkaz:
http://arxiv.org/abs/2308.09073
Publikováno v:
In Construction and Building Materials 22 November 2024 452
