Cargando…

Value of Ultrasonic Image Features in Diagnosis of Perinatal Outcomes of Severe Preeclampsia on account of Deep Learning Algorithm

This study is aimed at discussing the value of ultrasonic image features in diagnosis of perinatal outcomes of severe preeclampsia on account of deep learning algorithm. 140 pregnant women singleton with severe preeclampsia were selected as the observation group. At the same time, 140 normal singlet...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Qiang, Liu, Dong, Liu, Guangheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759876/ https://www.ncbi.nlm.nih.gov/pubmed/35035520 http://dx.doi.org/10.1155/2022/4010339

Ejemplares similares

Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury
por: Lv, Yi, et al.
Publicado: (2022)

Retracted: Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023)

The Value of Ultrasonic Elastography in Detecting Placental Stiffness for the Diagnosis of Preeclampsia: A Meta-Analysis
por: Su, Shanshan, et al.
Publicado: (2023)

Ultrasonic Image Features under the Intelligent Algorithm in the Diagnosis of Severe Sepsis Complicated with Renal Injury
por: Xu, Leiming, et al.
Publicado: (2022)

Incidence, characteristics, maternal complications, and perinatal outcomes associated with preeclampsia with severe features and HELLP syndrome
por: Kongwattanakul, Kiattisak, et al.
Publicado: (2018)

Retracted: Ultrasonic Image Features under the Intelligent Algorithm in the Diagnosis of Severe Sepsis Complicated with Renal Injury
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023)

Fetal Cerebral Hemodynamic Changes in Preeclampsia Patients by Ultrasonic Imaging under Intelligent Algorithm
por: Zhu, Di, et al.
Publicado: (2022)

Predictive value of serum uric acid levels for adverse perinatal outcomes in preeclampsia
por: Ryu, Aelie, et al.
Publicado: (2019)

Artificial Intelligence-Based Bolt Loosening Diagnosis Using Deep Learning Algorithms for Laser Ultrasonic Wave Propagation Data
por: Tran, Dai Quoc, et al.
Publicado: (2020)

Ultrasonic Image Feature Analysis under Deep Learning Algorithm to Evaluate the Efficacy of Drug-Coated Balloon for Treatment of Arteriosclerotic Occlusion
por: Zhang, Yuchao, et al.
Publicado: (2022)

Magnetic Resonance Imaging Features on Deep Learning Algorithm for the Diagnosis of Nasopharyngeal Carcinoma
por: Huang, Ruijie, et al.
Publicado: (2022)

Deep Learning Algorithm-Based Magnetic Resonance Imaging Feature-Guided Serum Bile Acid Profile and Perinatal Outcomes in Intrahepatic Cholestasis of Pregnancy
por: Liu, Hongxue, et al.
Publicado: (2022)

Analysis of perinatal coagulation function in preeclampsia
por: Xu, Chang, et al.
Publicado: (2021)

Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors
por: Sun, Lifang, et al.
Publicado: (2021)

Diagnostic Value of Deep Learning-Based CT Feature for Severe Pulmonary Infection
por: Huang, Tinglong, et al.
Publicado: (2021)

Value of deep learning models based on ultrasonic dynamic videos for distinguishing thyroid nodules
por: Ni, Chen, et al.
Publicado: (2023)

Maternal-Perinatal Variables in Patients with Severe Preeclampsia Who Develop Acute Kidney Injury
por: Rodríguez-Benitez, Patrocinio, et al.
Publicado: (2021)

Maternal and perinatal outcome of preeclampsia without severe feature among pregnant women managed at a tertiary referral hospital in urban Ethiopia
por: Belay Tolu, Lemi, et al.
Publicado: (2020)

Efficacy of liver cancer microwave ablation through ultrasonic image guidance under deep migration feature algorithm
por: Ye, Changkong, et al.
Publicado: (2021)

Artificial Intelligence Algorithm-Based Analysis of Ultrasonic Imaging Features for Diagnosis of Pregnancy Complicated with Brain Tumor
por: Wu, Lin, et al.
Publicado: (2021)

Hyperparathyroidism in Pregnancy Leading to Pancreatitis and Preeclampsia with Severe Features
por: Dale, Andrew G., et al.
Publicado: (2017)

Pregnancy Outcomes of Conservative Management in Preeclampsia with Severe Features
por: Inta, Anuchit, et al.
Publicado: (2023)

Deep Learning with LPC and Wavelet Algorithms for Driving Fault Diagnosis
por: Gong, Cihun-Siyong Alex, et al.
Publicado: (2022)

CT Image Feature Diagnosis on the Basis of Deep Learning Algorithm for Preoperative Patients and Complications of Transcatheter Aortic Valve Implantation
por: Zheng, Xiong, et al.
Publicado: (2021)

Association of autoantibodies against the M2-muscarinic receptor with perinatal outcomes in women with severe preeclampsia
por: Li, Yanfang, et al.
Publicado: (2013)

Maternal Perinatal Characteristics in Patients with Severe Preeclampsia: A Case-Control Nested Cohort Study
por: Aracil Moreno, Irene, et al.
Publicado: (2021)

Retracted: Artificial Intelligence Algorithm-Based Analysis of Ultrasonic Imaging Features for Diagnosis of Pregnancy Complicated with Brain Tumor
por: Healthcare Engineering, Journal of
Publicado: (2023)

Value of Public Challenges for the Development of Pathology Deep Learning Algorithms
por: Hartman, Douglas Joseph, et al.
Publicado: (2020)

The diagnosis values of serum STAT4 and sEng in preeclampsia
por: Zhang, Luyan, et al.
Publicado: (2019)

Effectiveness of Different Algorithms and Cut-off Value in Preeclampsia First Trimester Screening
por: Tousty, Piotr, et al.
Publicado: (2022)

Accuracy of Soluble Endoglin for Diagnosis of Preeclampsia and its Severity
por: Nikuei, Pooneh, et al.
Publicado: (2017)

COVID-19 and preeclampsia with severe features at 34-weeks gestation
por: Hansen, John N., et al.
Publicado: (2021)

Association of Preeclampsia and Perinatal Complications With Offspring Neurodevelopmental and Psychiatric Disorders
por: Kong, Linghua, et al.
Publicado: (2022)

Ultrasonic Intelligent Diagnosis of Papillary Thyroid Carcinoma Based on Machine Learning
por: Zhou, Heng, et al.
Publicado: (2022)

The Value of Prenatal First Systolic Blood Pressure Can Predict Severe Preeclampsia and Birth Weight in Patients With Preeclampsia
por: Gan, Bei, et al.
Publicado: (2022)

The Association Between Trimester-Specific Weight Gain and Severe Preeclampsia/Adverse Perinatal Outcome in Gestational Diabetes Mellitus Complicated by Preeclampsia: A Retrospective Case Study
por: Zhang, Xueqin, et al.
Publicado: (2019)

Deep Learning Algorithms for Estimation of Demographic and Anthropometric Features from Electrocardiograms
por: Ryu, Ji Seung, et al.
Publicado: (2023)

Performance Analysis of Deep Learning Algorithms in Diagnosis of Malaria Disease
por: Hemachandran, K., et al.
Publicado: (2023)

Impact of deep learning image reconstruction algorithms on CT radiomic features in patients with liver tumors
por: Xue, Gongbo, et al.
Publicado: (2023)

Severe anaemia is associated with a higher risk for preeclampsia and poor perinatal outcomes in Kassala hospital, eastern Sudan
por: Ali, AbdelAziem A, et al.
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_nqci1d4a13f91kfa46aeqhv79p