Cargando…

Automatic segmentation of pulmonary lobes on low-dose computed tomography using deep learning

BACKGROUND: To develop and validate a fully automated deep learning-based segmentation algorithm to segment pulmonary lobe on low-dose computed tomography (LDCT) images. METHODS: This study presents an automatic segmentation of pulmonary lobes using a fully convolutional neural network named dense V...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Zewei, Ren, Jialiang, Tao, Xiuli, Tang, Wei, Zhao, Shijun, Zhou, Lina, Huang, Yao, Wang, Jianwei, Wu, Ning
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944332/ https://www.ncbi.nlm.nih.gov/pubmed/33708918 http://dx.doi.org/10.21037/atm-20-5060

Ejemplares similares

Automatic segmentation of deep intracerebral electrodes in computed tomography scans
por: Arnulfo, Gabriele, et al.
Publicado: (2015)

A Fissure-Aided Registration Approach for Automatic Pulmonary Lobe Segmentation Using Deep Learning
por: Xue, Mengfan, et al.
Publicado: (2022)

Automatic pulmonary fissure detection and lobe segmentation in CT chest images
por: Qi, Shouliang, et al.
Publicado: (2014)

Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images
por: Önder, Merve, et al.
Publicado: (2023)

Correlation between lung cancer probability and number of pulmonary nodules in baseline computed tomography lung cancer screening: A retrospective study based on the Chinese population
por: Wu, Quanyang, et al.
Publicado: (2023)

Automatic Segmentation of MRI of Brain Tumor Using Deep Convolutional Network
por: Zhou, Runwei, et al.
Publicado: (2022)

Deep-learning method for fully automatic segmentation of the abdominal aortic aneurysm from computed tomography imaging
por: Abdolmanafi, Atefeh, et al.
Publicado: (2023)

Deep learning-based approach for the automatic segmentation of adult and pediatric temporal bone computed tomography images
por: Ke, Jia, et al.
Publicado: (2023)

Automatic epicardial adipose tissue segmentation in pulmonary computed tomography venography using nnU-Net
por: Hu, Yifan, et al.
Publicado: (2023)

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning
por: Baskaran, Lohendran, et al.
Publicado: (2020)

Anatomical Prior-Based Automatic Segmentation for Cardiac Substructures from Computed Tomography Images
por: Wang, Xuefang, et al.
Publicado: (2023)

Automatic Segmentation of Ultrasound Tomography Image
por: Wu, Shibin, et al.
Publicado: (2017)

Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring
por: Moghbel, Mehrdad, et al.
Publicado: (2016)

Automatic liver segmentation on Computed Tomography using random walkers for treatment planning
por: Moghbel, Mehrdad, et al.
Publicado: (2016)

Automatic Segmentation with Deep Learning in Radiotherapy
por: Isaksson, Lars Johannes, et al.
Publicado: (2023)

Erratum to “Automatic Segmentation of Ultrasound Tomography Image”
por: Wu, Shibin, et al.
Publicado: (2017)

Automatic liver segmentation in computed tomography using general-purpose shape modeling methods
por: Spinczyk, Dominik, et al.
Publicado: (2018)

Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis
por: Berta, L., et al.
Publicado: (2021)

Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning
por: Masood, Saleha, et al.
Publicado: (2019)

A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography
por: Chlis, Nikolaos-Kosmas, et al.
Publicado: (2020)

A Deep Learning-Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection Using Computed Tomography Images
por: Khan, Muntakim Mahmud, et al.
Publicado: (2023)

A New Pipeline to Automatically Segment and Semi-Automatically Measure Bone Length on 3D Models Obtained by Computed Tomography
por: Beltran Diaz, Santiago, et al.
Publicado: (2021)

Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images
por: Khoodoruth, B. Dhalila S. Y., et al.
Publicado: (2008)

An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images
por: Caballo, Marco, et al.
Publicado: (2018)

Automatic segmentation of cerebral infarcts in follow-up computed tomography images with convolutional neural networks
por: Sales Barros, Renan, et al.
Publicado: (2020)

Synthetic Data Generation for Automatic Segmentation of X-ray Computed Tomography Reconstructions of Complex Microstructures
por: Tsamos, Athanasios, et al.
Publicado: (2023)

Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study
por: Samim, Atia, et al.
Publicado: (2023)

Different Clinicopathologic and Computed Tomography Imaging Characteristics of Primary and Acquired EGFR T790M Mutations in Patients with Non-Small-Cell Lung Cancer
por: Hou, Donghui, et al.
Publicado: (2021)

Deep generative models for automated muscle segmentation in computed tomography scanning
por: Nishiyama, Daisuke, et al.
Publicado: (2021)

Deep learning model for automatic segmentation of lungs and pulmonary metastasis in small animal MR images
por: Lefevre, Edgar, et al.
Publicado: (2022)

Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography
por: Alves, Natália, et al.
Publicado: (2022)

A Systematic Review of Automated Segmentation Methods and Public Datasets for the Lung and its Lobes and Findings on Computed Tomography Images
por: Carmo, Diedre, et al.
Publicado: (2022)

Volumetric characteristics of idiopathic pulmonary fibrosis lungs: computational analyses of high-resolution computed tomography images of lung lobes
por: Sul, Bora, et al.
Publicado: (2019)

Deep learning for automatic segmentation of thigh and leg muscles
por: Agosti, Abramo, et al.
Publicado: (2021)

Deep-learning-based automatic segmentation and classification for craniopharyngiomas
por: Yan, Xiaorong, et al.
Publicado: (2023)

Comparison of interactive and automatic segmentation of stereoelectroencephalography electrodes on computed tomography post-operative images: preliminary results
por: Benadi, Sahar, et al.
Publicado: (2018)

Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning
por: Maiello, Lorenzo, et al.
Publicado: (2022)

MANet: a multi-attention network for automatic liver tumor segmentation in computed tomography (CT) imaging
por: Hettihewa, Kasun, et al.
Publicado: (2023)

Publisher Correction: Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning
por: Masood, Saleha, et al.
Publicado: (2019)

Automatic lesion detection and segmentation in (18)F-flutemetamol positron emission tomography images using deep learning
por: Ryu, Chan Ju
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fjnomok08uan195rr916da9b7u