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pro vyhledávání: '"Liu, Mei"'
Recent advancements in sequential modeling applied to Electronic Health Records (EHR) have greatly influenced prescription recommender systems. While the recent literature on drug recommendation has shown promising performance, the study of discoveri
Externí odkaz:
http://arxiv.org/abs/2408.10259
Colonoscopy videos provide richer information in polyp segmentation for rectal cancer diagnosis. However, the endoscope's fast moving and close-up observing make the current methods suffer from large spatial incoherence and continuous low-quality fra
Externí odkaz:
http://arxiv.org/abs/2406.13532
Autor:
Wang, Zhiwei, Zhou, Ying, He, Shiquan, Li, Ting, Huang, Fan, Ding, Qiang, Feng, Xinxia, Liu, Mei, Li, Qiang
Photometric constraint is indispensable for self-supervised monocular depth estimation. It involves warping a source image onto a target view using estimated depth&pose, and then minimizing the difference between the warped and target images. However
Externí odkaz:
http://arxiv.org/abs/2404.16571
We propose MonoBox, an innovative box-supervised segmentation method constrained by monotonicity to liberate its training from the user-unfriendly box-tightness assumption. In contrast to conventional box-supervised segmentation, where the box edges
Externí odkaz:
http://arxiv.org/abs/2404.01188
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 1, p e15510 (2020)
BackgroundArtificial intelligence–enabled electronic health record (EHR) analysis can revolutionize medical practice from the diagnosis and prediction of complex diseases to making recommendations in patient care, especially for chronic conditions
Externí odkaz:
https://doaj.org/article/7a74a795cc714ba9a331ea5426d7967d
Autor:
Liu, Mei, Yang, Leon
As IoT networks become more complex and generate massive amounts of dynamic data, it is difficult to monitor and detect anomalies using traditional statistical methods and machine learning methods. Deep learning algorithms can process and learn from
Externí odkaz:
http://arxiv.org/abs/2402.04469
Autor:
Wang, Zhiwei, Hu, Qiang, Shi, Hongkuan, He, Li, He, Man, Dai, Wenxuan, Tian, Yinjiao, Yang, Xin, Liu, Mei, Li, Qiang
Box-supervised polyp segmentation attracts increasing attention for its cost-effective potential. Existing solutions often rely on learning-free methods or pretrained models to laboriously generate pseudo masks, triggering Dice constraint subsequentl
Externí odkaz:
http://arxiv.org/abs/2310.07248
Survival analysis plays a crucial role in many healthcare decisions, where the risk prediction for the events of interest can support an informative outlook for a patient's medical journey. Given the existence of data censoring, an effective way of s
Externí odkaz:
http://arxiv.org/abs/2308.13104
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 35, Pp 4435-4438 (2024)
Background There are many types of vestibular function examination, each with different targets and positive rates. Clinical opinions vary on how to appropriately select examination methods for vertigo patients. Objective To explore the application v
Externí odkaz:
https://doaj.org/article/e8e8adf3568f42c092213e2e44b38176