Cargando…

Deep-Learning-Based CT Imaging in the Quantitative Evaluation of Chronic Kidney Diseases

This study focused on the application of deep learning algorithms in the segmentation of CT images, so as to diagnose chronic kidney diseases accurately and quantitatively. First, the residual dual-attention module (RDA module) was used for automatic segmentation of renal cysts in CT images. 79 pati...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fu, Xu, Liu, Huaiqin, Bi, Xiaowang, Gong, Xiao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568539/ https://www.ncbi.nlm.nih.gov/pubmed/34745497 http://dx.doi.org/10.1155/2021/3774423

Ejemplares similares

Artificial Intelligence-based MRI Images for Brain in Prediction of Alzheimer's Disease
por: Bi, Xiaowang, et al.
Publicado: (2021)

Quantitative evaluation of CT scan images to determinate the prognosis of COVID-19 patient using deep learning
por: Joni, Saeid Sadeghi, et al.
Publicado: (2023)

Deep Learning Assisted Localization of Polycystic Kidney on Contrast-Enhanced CT Images
por: Onthoni, Djeane Debora, et al.
Publicado: (2020)

Deep-kidney: an effective deep learning framework for chronic kidney disease prediction
por: Saif, Dina, et al.
Publicado: (2023)

Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation
por: Park, Junyoung, et al.
Publicado: (2019)

CT-free quantitative SPECT for automatic evaluation of %thyroid uptake based on deep-learning
por: Kwon, Kyounghyoun, et al.
Publicado: (2023)

Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study
por: Li, Yali, et al.
Publicado: (2022)

Evaluation of Kidney Histological Images Using Unsupervised Deep Learning
por: Sato, Noriaki, et al.
Publicado: (2021)

Deep learning algorithm performance evaluation in detection and classification of liver disease using CT images
por: Manjunath, R. V., et al.
Publicado: (2023)

Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality
por: Cozzi, Andrea, et al.
Publicado: (2023)

Evaluation of deep learning methods for parotid gland segmentation from CT images
por: Hänsch, Annika, et al.
Publicado: (2018)

Deep Learning-Based CT Imaging in Diagnosing Myeloma and Its Prognosis Evaluation
por: Wang, Jinzhou, et al.
Publicado: (2021)

Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images
por: Li, Dan, et al.
Publicado: (2022)

Deep learning-based electrocardiographic screening for chronic kidney disease
por: Holmstrom, Lauri, et al.
Publicado: (2023)

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications
por: Leuschner, Johannes, et al.
Publicado: (2021)

Virtual Monoenergetic CT Imaging via Deep Learning
por: Cong, Wenxiang, et al.
Publicado: (2020)

A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
por: Wang, Shuai, et al.
Publicado: (2021)

Quantitative chest CT assessment of pulmonary alveolar proteinosis with deep learning: a real-world longitudinal study
por: Shi, Shenyun, et al.
Publicado: (2022)

Obtaining dual-energy computed tomography (CT) information from a single-energy CT image for quantitative imaging analysis of living subjects by using deep learning
por: Zhao, Wei, et al.
Publicado: (2020)

Influence of a Deep Learning Noise Reduction on the CT Values, Image Noise and Characterization of Kidney and Ureter Stones
por: Steuwe, Andrea, et al.
Publicado: (2022)

Image quality improvement in low‐dose chest CT with deep learning image reconstruction
por: Tian, Qian, et al.
Publicado: (2022)

Deep learning classification of lung cancer histology using CT images
por: Chaunzwa, Tafadzwa L., et al.
Publicado: (2021)

Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans
por: Alzu'bi, Dalia, et al.
Publicado: (2022)

Development and clinical application of deep learning model for lung nodules screening on CT images
por: Cui, Sijia, et al.
Publicado: (2020)

Deep Learning-Based Image Reconstruction for CT Angiography of the Aorta
por: Heinrich, Andra, et al.
Publicado: (2021)

Deep learning for COVID-19 detection based on CT images
por: Zhao, Wentao, et al.
Publicado: (2021)

Deep Learning-Based CT Imaging for the Diagnosis of Liver Tumor
por: Zhang, Heng, et al.
Publicado: (2022)

Evaluation of deep‐learning image reconstruction for chest CT examinations at two different dose levels
por: Svalkvist, Angelica, et al.
Publicado: (2022)

Deep Learning on Enhanced CT Images Can Predict the Muscular Invasiveness of Bladder Cancer
por: Zhang, Gumuyang, et al.
Publicado: (2021)

Regarding “Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach”
por: Takahashi, Marcelo Straus, et al.
Publicado: (2020)

Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach
por: Huang, Lu, et al.
Publicado: (2020)

Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms
por: van den Oever, L. B., et al.
Publicado: (2022)

Deep learning classification of lipid droplets in quantitative phase images
por: Sheneman, Luke, et al.
Publicado: (2021)

CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)
por: Li, Kunwei, et al.
Publicado: (2020)

The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods
por: Li, Shihao, et al.
Publicado: (2019)

Fusion of Graph and Tabular Deep Learning Models for Predicting Chronic Kidney Disease
por: Rao, Patike Kiran, et al.
Publicado: (2023)

Predicting Malignancy and Invasiveness of Pulmonary Subsolid Nodules on CT Images Using Deep Learning
por: Shen, Tianle, et al.
Publicado: (2021)

Deep Learning-Based CT Imaging to Evaluate the Therapeutic Effects of Acupuncture and Moxibustion Therapy on Knee Osteoarthritis
por: Jiang, Guoyong, et al.
Publicado: (2022)

Metal artifact reduction on cervical CT images by deep residual learning
por: Huang, Xia, et al.
Publicado: (2018)

The ensemble deep learning model for novel COVID-19 on CT images
por: Zhou, Tao, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_l8652v4k6resrjhib673fcq8d8