Zobrazeno 1 - 10
of 29
pro vyhledávání: '"LIJUE LIU"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-16 (2022)
Abstract Background Imbalance between positive and negative outcomes, a so-called class imbalance, is a problem generally found in medical data. Despite various studies, class imbalance has always been a difficult issue. The main objective of this st
Externí odkaz:
https://doaj.org/article/cd358d41ec994486b10554f532a5f75c
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Aortic dissection (AD), a dangerous disease threatening to human beings, has a hidden onset and rapid progression and has few effective methods in its early diagnosis. At present, although CT angiography acts as the gold standard on AD diagnosis, it
Externí odkaz:
https://doaj.org/article/1a0814424db14ee39c393eb0ef5caeff
Publikováno v:
Tongxin xuebao, Vol 40, Pp 102-110 (2019)
The problem of multi-point path planning is a NP-hard problem,which is equivalent to finding the shortest path of a starting point and some specific node.Aiming at the problem of multi-point path planning,a retrospective ant colony-particle swarm opt
Externí odkaz:
https://doaj.org/article/e8b3f7b9b6c94df69616f09e920a6e18
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
Data association is critical for Simultaneous Localization and Mapping (SLAM). In a real environment, dynamic obstacles will lead to false data associations which compromise SLAM results. This paper presents a simple and effective data association me
Externí odkaz:
https://doaj.org/article/dbd3637a46cc416bb479972555277bba
Autor:
Jinhai Deng, Weixiong Peng, Qinyang Lu, Zheng Wang, Qiang Fu, Xingang Zhou, Yufeng Cai, Yang Mu, Teng Pan, Zaoqu Liu, Zixing Cai, Mingzhu Yin, Lijue Liu, Yueyun Lai
With the advent of the utilization of machine learning techniques in the diagnosis of hematological diseases, endless potential can be foreseen, including digital images analysis. The application of machine-learning tool in cytogenetics contributes t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab792ece1f3b5d961a0526c1f82a7c6c
https://doi.org/10.21203/rs.3.rs-2913988/v1
https://doi.org/10.21203/rs.3.rs-2913988/v1
Publikováno v:
Journal of Mechanics in Medicine and Biology. 22
Human activity recognition (HAR) has a wide application in daily life. With wearable sensors, people’s activity can be monitored, recorded and analysed. However, most existing methods did not make full use of human activity data and their features.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67709010ebb864e7a5b5b21728bda100
https://doi.org/10.1142/s021951942250066x
https://doi.org/10.1142/s021951942250066x
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5657
Aortic dissection (AD) is a rare and high-risk cardiovascular disease with high mortality. Due to its complex and changeable clinical manifestations, it is easily missed or misdiagnosed. In this paper, we proposed an ensemble learning model based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5b7b793deeed86cf17f68f3cfdef7ea
Publikováno v:
Journal of Thoracic Disease. 12:605-614
Background: The main purpose of the study was to develop an early screening method for aortic dissection (AD) based on machine learning. Due to the rarity of AD and the complexity of symptoms, many doctors have no clinical experience with it. Many pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a827f2598e21d95bde34e8063fe6ccf3
https://doi.org/10.21037/jtd.2019.12.119
https://doi.org/10.21037/jtd.2019.12.119
Publikováno v:
Neurocomputing. 378:9-23
In this paper, we propose a deep convolutional network for single image dehazing based on derived image fusion strategy. Instead of estimating the transmission map and atmospheric light as previously performed, we directly generate a haze-free image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf69e14c3792169ddb05cd36b4ad0184
https://doi.org/10.1016/j.neucom.2019.09.094
https://doi.org/10.1016/j.neucom.2019.09.094
Publikováno v:
BMC medical informatics and decision making. 22(1)
Background Imbalance between positive and negative outcomes, a so-called class imbalance, is a problem generally found in medical data. Despite various studies, class imbalance has always been a difficult issue. The main objective of this study was t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2386e74fc4f21ec5b870c5f83fc082dd
https://pubmed.ncbi.nlm.nih.gov/35346181
https://pubmed.ncbi.nlm.nih.gov/35346181