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of 662
pro vyhledávání: '"Yao, Xincheng"'
This paper explores the problem of class-generalizable anomaly detection, where the objective is to train one unified AD model that can generalize to detect anomalies in diverse classes from different domains without any retraining or fine-tuning on
Externí odkaz:
http://arxiv.org/abs/2410.20047
Unified anomaly detection (AD) is one of the most challenges for anomaly detection, where one unified model is trained with normal samples from multiple classes with the objective to detect anomalies in these classes. For such a challenging task, pop
Externí odkaz:
http://arxiv.org/abs/2403.13349
Humans recognize anomalies through two aspects: larger patch-wise representation discrepancies and weaker patch-to-normal-patch correlations. However, the previous AD methods didn't sufficiently combine the two complementary aspects to design AD mode
Externí odkaz:
http://arxiv.org/abs/2308.02983
Autor:
Dadzie, Albert K., Le, David, Abtahi, Mansour, Ebrahimi, Behrouz, Son, Taeyoon, Lim, Jennifer I., Yao, Xincheng
Purpose: To evaluate the sensitivity of normalized blood flow index (NBFI) for detecting early diabetic retinopathy (DR). Methods: Optical coherence tomography angiography (OCTA) images of 30 eyes from 20 healthy controls, 21 eyes of diabetic patient
Externí odkaz:
http://arxiv.org/abs/2212.14840
Autor:
Rossi, Alfa, Rahimi, Mojtaba, Le, David, son, Taeyoon, Heiferman, Michael J., Chan, R. V. Paul, Yao, Xincheng
Fundus photography is indispensable for clinical detection and management of eye diseases. Limited image contrast and field of view (FOV) are common limitations of conventional fundus cameras, making it difficult to detect subtle abnormalities at the
Externí odkaz:
http://arxiv.org/abs/2212.13257
Significance: Multiple eye diseases such as age-related macular degeneration, diabetic retinopathy, and retinitis pigmentosa can cause photoreceptor dysfunction. Rod photoreceptors are known to be more vulnerable than cone photoreceptors. Therefore,
Externí odkaz:
http://arxiv.org/abs/2212.10374
Most anomaly detection (AD) models are learned using only normal samples in an unsupervised way, which may result in ambiguous decision boundary and insufficient discriminability. In fact, a few anomaly samples are often available in real-world appli
Externí odkaz:
http://arxiv.org/abs/2207.01463
Autor:
Tang, Jiang, Yao, Xincheng, Chen, Weiwei, Wang, Guolian, Liu, Jinping, He, Hui, Chen, Hui, Shen, Ke
Publikováno v:
In Journal of Analytical and Applied Pyrolysis October 2024 183
Intrinsic optical signal (IOS) imaging of the retina, also termed as optoretinography (ORG), promises a noninvasive method for objective assessment of retinal function. By providing unparalleled capability to differentiate individual layers of the re
Externí odkaz:
http://arxiv.org/abs/2202.09414
Autor:
Ahmed, Shaiban, Le, David, Son, Taeyoon, Adejumo, Tobiloba, Yao, Xincheng, Engineering, Department of Biomedical, Chicago, University of Illinois at, Ophthalmology, Department of, Science, Visual
Chromatic dispersion is a common problem to degrade the system resolution in optical coherence tomography (OCT). This study is to develop a deep learning network for automated dispersion compensation (ADC-Net) in OCT. The ADC-Net is based on a redesi
Externí odkaz:
http://arxiv.org/abs/2201.12625