Výsledky vyhledávání - "ZOU Dong-hua"

Akademický článek

Survey on the Construction Status of Forensic Virtual Autopsy Laboratory and the Applicability of Laboratory Accreditation

Autor: GAO Jun-wei, LU Yang, LI Yan-jun, ZOU Dong-hua, HE Guang-long, WANG Yan-bin

Publikováno v: Fayixue Zazhi, Vol 39, Iss 2, Pp 186-192 (2023)

ObjectiveTo survey the development status and actual needs of virtual autopsy technology in China and to clarify the applicability of forensic virtual autopsy laboratory accreditation.MethodsThe questionnaire was set up included three aspects：（1

Externí odkaz: https://doaj.org/article/ba0e45af15a743c98e4170e5d33e9c8b

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Akademický článek

Comparison of CT Values between Thrombus and Postmortem Clot Based on Cadaveric Pulmonary Angiography

Autor: TIAN Zhi-ling, WANG Ruo-lin, ZHANG Jian-hua, HUANG Ping, QIN Zhi-qiang, LI Zheng-dong, DONG He-wen, ZOU Dong-hua, WANG Mao-wen, LI Zhuo, WAN Lei, YU Xiao-tian, LIU Ning-guo

Publikováno v: Fayixue Zazhi, Vol 39, Iss 1, Pp 7-12 (2023)

ObjectiveTo explore the difference in CT values between pulmonary thromboembolism and postmortem clot in postmortem CT pulmonary angiography （CTPA） to further improve the application value of virtual autopsy.MethodsPostmortem CTPA data with the d

Externí odkaz: https://doaj.org/article/2e0c9be57dfd4a6fa35c726d3327c08b

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Akademický článek

Automatic Identification of Brain Injury Mechanism Based on Deep Learning

Autor: YANG Qi-fan, SUN Xue-yang, WANG Yan-bin, TIAN Zhi-ling, DONG He-wen, WAN Lei, ZOU Dong-hua, YU Xiao-tian, ZHANG Guang-zheng, LIU Ning-guo

Publikováno v: Fayixue Zazhi, Vol 38, Iss 2, Pp 223-230 (2022)

ObjectiveTo apply the convolutional neural network （CNN） Inception_v3 model in automatic identification of acceleration and deceleration injury based on CT images of brain, and to explore the application prospect of deep learning technology in fo

Externí odkaz: https://doaj.org/article/006cb300614c4d82ac3f79d2af9987da

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Akademický článek

Logistic Regression Analysis of the Mechanism of Blunt Brain Injury Inference Based on CT Images

Autor: SUN Xue-yang, YANG Qi-fan, ZHU Yun-liang, WANG Yan-bin, DONG He-wen, YANG Ming-zhen, TIAN Zhi-ling, WAN Lei, ZOU Dong-hua, YU Xiao-tian, LIU Ning-guo

Publikováno v: Fayixue Zazhi, Vol 38, Iss 2, Pp 217-222 (2022)

ObjectiveTo study the correlation between CT imaging features of acceleration and deceleration brain injury and injury degree.MethodsA total of 299 cases with acceleration and deceleration brain injury were collected and divided into acceleration bra

Externí odkaz: https://doaj.org/article/c3ff1fa1fef741c9934412936b13fa55

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Akademický článek

Virtual Autopsy Morphological Features of Drowning

Autor: JIAN Jun-qi, ZOU Dong-hua, LI Zheng-dong, ZHANG Jian-hua, QIN Zhi-qiang, LIU Ning-guo

Publikováno v: Fayixue Zazhi, Vol 38, Iss 1, Pp 53-58 (2022)

ObjectiveTo explore the application value of virtual autopsy to obtain key evidence information on drowned corpses and its application value of virtual autopsy in the diagnosis of drowning.MethodsIn this study, 7 corpses were selected as the research

Externí odkaz: https://doaj.org/article/781bd9f81c5845218907cdc185de5ffe

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Akademický článek

Analysis of Influencing Factors of Single Camera Photogrammetry in Forensic Three-Dimensional Reconstruction

Autor: ZOU Dong-hua , WANG Jin-ming, CHEN Yi-jiu, et al.

Publikováno v: Fayixue Zazhi, Vol 36, Iss 5, Pp 666-671 (2020)

Objective To evaluate the influence of factors such as the selection of equipment, focal length and the selection of reconstruction quality in the reconstruction software on the reconstruction results of single camera photogrammetry and provide refer

Externí odkaz: https://doaj.org/article/0cd4b14b79644d7aa0c7db81f0a756ff

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