Cargando…

Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images

Recent breakthroughs of deep learning algorithms in medical imaging, automated detection, and segmentation techniques for renal (kidney) in abdominal computed tomography (CT) images have been limited. Radiomics and machine learning analyses of renal diseases rely on the automatic segmentation of kid...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Dan, Xiao, Chuda, Liu, Yang, Chen, Zhuo, Hassan, Haseeb, Su, Liyilei, Liu, Jun, Li, Haoyu, Xie, Weiguo, Zhong, Wen, Huang, Bingding
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330428/ https://www.ncbi.nlm.nih.gov/pubmed/35892498 http://dx.doi.org/10.3390/diagnostics12081788

Ejemplares similares

Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review
por: Li, Rui, et al.
Publicado: (2022)

Comparison of kidney densities of cases with urinary dilatation in unenhanced CT scan
por: Yeniçeri, Önder, et al.
Publicado: (2019)

Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT
por: Kim, Taehun, et al.
Publicado: (2020)

Design and Validation of a Deep Learning Model for Renal Stone Detection and Segmentation on Kidney–Ureter–Bladder Images
por: Huang, Zih-Hao, et al.
Publicado: (2023)

Diagnostic accuracy of ultrasonography compared to unenhanced CT for stone and obstruction in patients with renal failure
por: Ather, M Hammad, et al.
Publicado: (2004)

Author Correction: Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT
por: Kim, Taehun, et al.
Publicado: (2022)

“Black” and “White” Blood on Unenhanced CT
por: del Marmol, Olivia, et al.
Publicado: (2019)

Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction
por: Kaga, Tetsuro, et al.
Publicado: (2022)

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

Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients
por: Li, Jiali, et al.
Publicado: (2020)

Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
por: Hassan, Haseeb, et al.
Publicado: (2022)

Low-dose unenhanced computed tomography for diagnosing stone disease in obese patients
por: Abou El-Ghar, Mohamed E., et al.
Publicado: (2012)

Low-Dose Unenhanced Computed Tomography with Iterative Reconstruction for Diagnosis of Ureter Stones
por: Chi, Byung Hoon, et al.
Publicado: (2018)

Renal artery-based kidney segmentation on CT for patients with renal cell carcinoma: Feasibility of segmental artery clamping simulation
por: Yoshida, Kotaro, et al.
Publicado: (2022)

Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease
por: Sharma, Kanishka, et al.
Publicado: (2017)

Kidney segmentation in CT sequences using SKFCM and improved GrowCut algorithm
por: Song, Hong, et al.
Publicado: (2015)

3D marker-controlled watershed for kidney segmentation in clinical CT exams
por: Wieclawek, Wojciech
Publicado: (2018)

AI-Driven Robust Kidney and Renal Mass Segmentation and Classification on 3D CT Images
por: Liu, Jingya, et al.
Publicado: (2023)

3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models
por: Khalifa, Fahmi, et al.
Publicado: (2017)

Potential of Unenhanced Ultra-Low-Dose Abdominal Photon-Counting CT with Tin Filtration: A Cadaveric Study
por: Huflage, Henner, et al.
Publicado: (2023)

Diagnostic accuracy of acute diverticulitis with unenhanced low‐dose CT
por: Thorisson, A., et al.
Publicado: (2020)

Expert-level segmentation using deep learning for volumetry of polycystic kidney and liver
por: Shin, Tae Young, et al.
Publicado: (2020)

Abdominal organ segmentation via deep diffeomorphic mesh deformations
por: Bongratz, Fabian, et al.
Publicado: (2023)

Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
por: Hassan, Haseeb, et al.
Publicado: (2022)

Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease
por: Sharbatdaran, Arman, et al.
Publicado: (2022)

Kidney Tumor Semantic Segmentation Using Deep Learning: A Survey of State-of-the-Art
por: Abdelrahman, Abubaker, et al.
Publicado: (2022)

Improving segmentation accuracy of CT kidney cancer images using adaptive active contour model
por: Hsu, Wei-Yen, et al.
Publicado: (2020)

3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary
por: Shehata, Mohamed, et al.
Publicado: (2018)

Deep Network for the Automatic Segmentation and Quantification of Intracranial Hemorrhage on CT
por: Xu, Jun, et al.
Publicado: (2021)

Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs
por: Amjad, Asma, et al.
Publicado: (2023)

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)

Diagnostic Value of Unenhanced CT Attenuation and CT Histogram Analysis in Differential Diagnosis of Adrenal Tumors
por: Szász, Paulína, et al.
Publicado: (2020)

PCNL Combined with 3D Printing Technology for the Treatment of Complex Staghorn Kidney Stones
por: Liu, Yubao, et al.
Publicado: (2022)

Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge
por: Sathianathen, Niranjan J., et al.
Publicado: (2022)

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

Feasibility of CT-CT fusion imaging for evaluation of the cryoablation margins in visible hepatocellular carcinoma on unenhanced CT images: Initial experience
por: Chen, Chao, et al.
Publicado: (2019)

Kidney stone disease
por: Chi, Thomas, et al.
Publicado: (2014)

A Stone in the Kidney
Publicado: (1889)

The Symptoms of Stone in the Kidney
por: Freyer, P. J.
Publicado: (1900)

Epidemiology of Kidney Stones
por: Stamatelou, Kyriaki, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_fe4kdo4akrbn5qt4q3gomcv8cu