Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Wei Wei Zhan"'
Autor:
Lu Zhang, Wei Zhou, Jian Qiao Zhou, Qian Shi, Teresa Rago, Giovanni Gambelunghe, Da Zhong Zou, Jun Gu, Man Lu, Fen Chen, Jie Ren, Wen Cheng, Ping Zhou, Stefano Spiezia, Enrico Papini, Wei Wei Zhan
Publikováno v:
International Journal of Hyperthermia, Vol 39, Iss 1, Pp 1254-1263 (2022)
Objective With the aim of standardizing and improving the use of ultrasound-guided PLA on PTMC, a panel of experts from China and Italy, jointly issued this expert consensus on the clinical use of PLA for low-risk PTMC.Methods This expert consensus w
Externí odkaz:
https://doaj.org/article/6d9a4861b1e04501a408731fcb002440
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
ObjectiveThe aim of this study was to evaluate the feasibility and efficacy of percutaneous laser ablation (PLA) for patients with multifocal papillary thyroid microcarcinoma (PTMC).Materials and methodsA cohort of patients who underwent ultrasound (
Externí odkaz:
https://doaj.org/article/2d178d9838e848b8bc8aba1d0a47418b
Publikováno v:
Clinical Radiology. 75:179-184
AIM To identify the differences between ultrasound (US) features of parathyroid carcinoma (PC) and benign parathyroid (BP) lesions in patients with primary hyperparathyroidism (PHPT). MATERIAL AND METHODS Twenty-one patients with PC and 64 consecutiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::070301df8daf1e690fe9f044a109f1ca
https://doi.org/10.1016/j.crad.2019.10.004
https://doi.org/10.1016/j.crad.2019.10.004
Publikováno v:
Endocrine. 77(2)
This study aimed to investigate the predictive factors as well as the time and age course of recurrence/persistence in a large cohort of postoperative patients with papillary thyroid carcinoma (PTC) based on the long-term ultrasonography (US) follow-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f23a8a2001788cf38472fb9229b1cc1
https://pubmed.ncbi.nlm.nih.gov/35588346
https://pubmed.ncbi.nlm.nih.gov/35588346
Publikováno v:
2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI).
In the actual identification of reinforced concrete bridge structure damage, the sensitivity of each mode shape to the structure damage location is different, resulting in the final damage identification method which can identify the number of damage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7066639c0c5c067bb0e5d03ea6fcb904
https://doi.org/10.1109/iaai51705.2020.9332817
https://doi.org/10.1109/iaai51705.2020.9332817
Publikováno v:
2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI).
The traditional sensor monitoring method has many problems in actual bridge health monitoring, such as low measurement accuracy and low sampling frequency. Based on this, a method for monitoring the displacement of a heavy-duty bridge structure based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55adc24670b22e633457436c0361c09a
https://doi.org/10.1109/iaai51705.2020.9332870
https://doi.org/10.1109/iaai51705.2020.9332870
Publikováno v:
2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI).
Under the combined action of natural environment and traffic load, the performance of asphalt pavement materials for asphalt concrete bridges is declining, which directly affects the speed of vehicles and the safety, economy and comfort of transporta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::833322abe7f29314ff95e72e291e1efb
https://doi.org/10.1109/iaai51705.2020.9332886
https://doi.org/10.1109/iaai51705.2020.9332886
Publikováno v:
2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI).
Due to environmental loads, fatigue effects, corrosion and material aging and other factors, the surface of high-speed railway bridge cables will inevitably be damaged, which affects the safety of the bridge. Therefore, a method for detecting surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e13cb18101b8a8b990eaaab0fa481f4
https://doi.org/10.1109/iaai51705.2020.9332902
https://doi.org/10.1109/iaai51705.2020.9332902
Publikováno v:
2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI).
Based on the original research results, this paper proposes a method for fatigue crack detection of asphalt concrete pavement based on machine learning. Obtain the asphalt concrete pavement fatigue crack data set composed of public data sets and manu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75c592645cc43d7fcd2759c1707cba7
https://doi.org/10.1109/iaai51705.2020.9332897
https://doi.org/10.1109/iaai51705.2020.9332897