Cargando…

Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation

OBJECTIVE: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction methods. MATERIALS AND METHODS: We collected contrast...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Seul Bi, Hong, Youngtaek, Cho, Yeon Jin, Jeong, Dawun, Lee, Jina, Yoon, Soon Ho, Lee, Seunghyun, Choi, Young Hun, Cheon, Jung-Eun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2023
Materias:	Gastrointestinal Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067697/ https://www.ncbi.nlm.nih.gov/pubmed/36907592 http://dx.doi.org/10.3348/kjr.2022.0588

Ejemplares similares

Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography
por: Park, Hyo Jung, et al.
Publicado: (2020)

Radiomics and Deep Learning: Hepatic Applications
por: Park, Hyo Jung, et al.
Publicado: (2020)

Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images
por: Ahn, Yura, et al.
Publicado: (2020)

Deep Learning-Enabled Detection of Pneumoperitoneum in Supine and Erect Abdominal Radiography: Modeling Using Transfer Learning and Semi-Supervised Learning
por: Park, Sangjoon, et al.
Publicado: (2023)

Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase MRI
por: Park, Hyo Jung, et al.
Publicado: (2022)

Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI
por: Heo, Subin, et al.
Publicado: (2022)

Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer
por: Kim, Kiwook, et al.
Publicado: (2021)

Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors
por: Yang, Jiejin, et al.
Publicado: (2021)

Image Quality and Lesion Detectability of Lower-Dose Abdominopelvic CT Obtained Using Deep Learning Image Reconstruction
por: Park, June, et al.
Publicado: (2022)

Volumetric CT Texture Analysis of Intrahepatic Mass-Forming Cholangiocarcinoma for the Prediction of Postoperative Outcomes: Fully Automatic Tumor Segmentation Versus Semi-Automatic Segmentation
por: Park, Sungeun, et al.
Publicado: (2021)

Lumbar spine segmentation method based on deep learning
por: Lu, Hongjiang, et al.
Publicado: (2023)

Two-Dimensional-Shear Wave Elastography with a Propagation Map: Prospective Evaluation of Liver Fibrosis Using Histopathology as the Reference Standard
por: Lee, Dong Ho, et al.
Publicado: (2020)

No-Touch Radiofrequency Ablation of VX2 Hepatic Tumors In Vivo in Rabbits: A Proof of Concept Study
por: Kim, Tae-Hyung, et al.
Publicado: (2018)

Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning
por: Koo, Hyun Jung, et al.
Publicado: (2020)

Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering
por: Wang, Mengmeng, et al.
Publicado: (2018)

Prognosis Prediction of Hepatocellular Carcinoma Based on Magnetic Resonance Imaging Features
por: Low, Hsien Min, et al.
Publicado: (2023)

High Acceleration Three-Dimensional T1-Weighted Dual Echo Dixon Hepatobiliary Phase Imaging Using Compressed Sensing-Sensitivity Encoding: Comparison of Image Quality and Solid Lesion Detectability with the Standard T1-Weighted Sequence
por: Nam, Ju Gang, et al.
Publicado: (2019)

Quantitative Ultrasound Radiofrequency Data Analysis for the Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease Using Magnetic Resonance Imaging Proton Density Fat Fraction as the Reference Standard
por: Jeon, Sun Kyung, et al.
Publicado: (2021)

Monitoring Cerebral Perfusion Changes Using Arterial Spin-Labeling Perfusion MRI after Indirect Revascularization in Children with Moyamoya Disease
por: Lee, Seul Bi, et al.
Publicado: (2021)

Monitoring Posterior Cerebral Perfusion Changes With Dynamic Susceptibility Contrast-Enhanced Perfusion MRI After Anterior Revascularization Surgery in Pediatric Moyamoya Disease
por: Seo, Yun Seok, et al.
Publicado: (2023)

Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning
por: Ryu, Hwaseong, et al.
Publicado: (2021)

Generalizability of deep learning models for dental image analysis
por: Krois, Joachim, et al.
Publicado: (2021)

Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs
por: Choi, Jae Won, et al.
Publicado: (2022)

Combined Hepatocellular-Cholangiocarcinoma: Changes in the 2019 World Health Organization Histological Classification System and Potential Impact on Imaging-Based Diagnosis
por: Kim, Tae-Hyung, et al.
Publicado: (2020)

Validation of a New Point Shear-Wave Elastography Method for Noninvasive Assessment of Liver Fibrosis: A Prospective Multicenter Study
por: Joo, Ijin, et al.
Publicado: (2019)

Cutoff Values for Diagnosing Hepatic Steatosis Using Contemporary MRI-Proton Density Fat Fraction Measuring Methods
por: Park, Sohee, et al.
Publicado: (2022)

How to Combine Diffusion-Weighted and T2-Weighted Imaging for MRI Assessment of Pathologic Complete Response to Neoadjuvant Chemoradiotherapy in Patients with Rectal Cancer?
por: Jang, Jong Keon, et al.
Publicado: (2021)

Compression of the Main Pancreatic Duct by the Intrapancreatic-Replaced Common Hepatic Artery
por: Lee, Ha-yeon, et al.
Publicado: (2013)

Iodine Quantification on Spectral Detector-Based Dual-Energy CT Enterography: Correlation with Crohn's Disease Activity Index and External Validation
por: Kim, Yeon Soo, et al.
Publicado: (2018)

Sclerosing Cholangitis: Clinicopathologic Features, Imaging Spectrum, and Systemic Approach to Differential Diagnosis
por: Seo, Nieun, et al.
Publicado: (2016)

Type-Specific Diagnosis and Evaluation of Longitudinal Tumor Extent of Borrmann Type IV Gastric Cancer: CT versus Gastroscopy
por: Kim, Jung Im, et al.
Publicado: (2013)

Liver-to-Spleen Volume Ratio Automatically Measured on CT Predicts Decompensation in Patients with B Viral Compensated Cirrhosis
por: Kwon, Ji Hye, et al.
Publicado: (2021)

Segmental Liver Stiffness Evaluated with Magnetic Resonance Elastography Is Responsive to Endovascular Intervention in Patients with Budd-Chiari Syndrome
por: Xu, Peng, et al.
Publicado: (2019)

Development and Validation of a Simple Index Based on Non-Enhanced CT and Clinical Factors for Prediction of Non-Alcoholic Fatty Liver Disease
por: Ahn, Yura, et al.
Publicado: (2020)

Predicting Sex From EEG: Validity and Generalizability of Deep-Learning-Based Interpretable Classifier
por: Bučková, Barbora, et al.
Publicado: (2020)

A Generalizable and Discriminative Learning Method for Deep EEG-Based Motor Imagery Classification
por: Huang, Xiuyu, et al.
Publicado: (2021)

Hepatic vessels segmentation using deep learning and preprocessing enhancement
por: Alirr, Omar Ibrahim, et al.
Publicado: (2023)

Anatomical Modeling of Brain Vasculature in Two-Photon Microscopy by Generalizable Deep Learning
por: Tahir, Waleed, et al.
Publicado: (2020)

Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images
por: Wang, Yifan, et al.
Publicado: (2022)

Hepatic Arterial Phase on Gadoxetic Acid-Enhanced Liver MR Imaging: A Randomized Comparison of 0.5 mL/s and 1 mL/s Injection Rates
por: Kim, Sung Mo, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_gj41nfld5vh2tch9augg5nm0m5