3D segmentation and visualization of lung and its structures using CT images of the thorax

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Citations

Journals Menu

"3D segmentation and visualization of lung and its structures using CT images of the thorax"
written by Pedro P. Rebouças Filho, Paulo Cesar Cortez, Victor Hugo C. de Albuquerque,
published by Journal of Biomedical Science and Engineering, Vol.6 No.11, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout
	Physics in Medicine …, 2023

[2]	An Empirical Analysis of Lung Cancer Detection and Classification Using CT Images
	International Conference on Soft Computing and …, 2023

[3]	Postural evaluation based on body movement and mapping sensors
	Measurement, 2022

[4]	A Novel Lesion Segmentation Algorithm based on U-Net Network for Tuberculosis CT Image
	2021 International Conference on Control …, 2021

[5]	Visualization Systems for Volume Exploration and Medical Diagnosis
	2021

[6]	COVID-view: Diagnosis of COVID-19 using Chest CT
	IEEE transactions on …, 2021

[7]	A new effective and powerful medical image segmentation algorithm based on optimum path snakes
	2019

[8]	Automatic Pulmonary Segmentation in Chest Radiography, Using Wavelet, Morphology and Active Contours
	2019

[9]	Context-aware Spatio-recurrent Curvilinear Structure Segmentation
	2019

[10]	Three-dimensional reconstruction of the thorax in the mongoose (Herpestes ichneumon)
	2018

[11]	Three-dimensional reconstruction of the thorax in the mongoose (Herpestes ichneumon).
	2018

[12]	Machine Learning to Predict Lung Nodule Biopsy Method Using CT Image Features: A Pilot Study
	Computerized Medical Imaging and Graphics, 2018

[13]	An Automated System for the Detection of Lung Cancer in CT data at Early Stages
	International Journal of Theory and Applications, 2017

[14]	Automated recognition of lung diseases in CT images based on the optimum-path forest classifier
	Neural Computing and Applications, 2017

[15]	A new approach to calculate the nodule density of ductile cast iron graphite using a Level Set
	Measurement, 2016

[16]	3D Lung Fissure Segmentation in TC images based in Textures
	IEEE Latin America Transactions, 2016

[17]	Adaptive Crisp Active Contour Method for Segmentation and Reconstruction of 3D Lung Structures
	Revista Matria (UFRJ), 2015

[18]	Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques
	Journal of Experimental & Theoretical Artificial Intelligence, 2015

[19]	Software development for ductile cast iron graphite nodules density calculation using Digital Image Processing
	Matéria (Rio de Janeiro), 2015

[20]	Desenvolvimento de um Software para cálculo da densidade de nódulos de grafita em ferro fundido nodular através de Processamento Digital de Imagens
	2015

[21]	Lung disease detection using feature extraction and extreme learning machine
	Revista Brasileira de Engenharia Biomédica, 2014

[22]	2 Department of Anatomy, Faculty of Veterinary Medicine, Selcuk University, Konya, Turkey
	S Ozkadif, A Haligur

[1]	Soft Computing and Signal Processing Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-981-99-8451-0_2

[2]	Rapid deposition analysis of inhaled aerosols in human airways Scientific Reports, 2024 DOI:10.1038/s41598-024-75578-9

[3]	Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024 DOI:10.1109/EMBC53108.2024.10781590

[4]	Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout Physics in Medicine & Biology, 2023 DOI:10.1088/1361-6560/acd221

[5]	Postural evaluation based on body movement and mapping sensors Measurement, 2022 DOI:10.1016/j.measurement.2021.110538

[6]	COVID-view: Diagnosis of COVID-19 using Chest CT IEEE Transactions on Visualization and Computer Graphics, 2022 DOI:10.1109/TVCG.2021.3114851

[7]	Postural evaluation based on body movement and mapping sensors Measurement, 2022 DOI:10.1016/j.measurement.2021.110538

[8]	A Novel Lesion Segmentation Algorithm based on U-Net Network for Tuberculosis CT Image 2021 International Conference on Control, Automation and Information Sciences (ICCAIS), 2021 DOI:10.1109/ICCAIS52680.2021.9624633

[9]	Machine learning to predict lung nodule biopsy method using CT image features: A pilot study Computerized Medical Imaging and Graphics, 2019 DOI:10.1016/j.compmedimag.2018.10.006

[10]	A new effective and powerful medical image segmentation algorithm based on optimum path snakes Applied Soft Computing, 2019 DOI:10.1016/j.asoc.2018.10.057

[11]	XXVI Brazilian Congress on Biomedical Engineering IFMBE Proceedings, 2019 DOI:10.1007/978-981-13-2517-5_12

[12]	Automated recognition of lung diseases in CT images based on the optimum-path forest classifier Neural Computing and Applications, 2017 DOI:10.1007/s00521-017-3048-y

[13]	A new approach to calculate the nodule density of ductile cast iron graphite using a Level Set Measurement, 2016 DOI:10.1016/j.measurement.2016.04.029

[14]	Desenvolvimento de um Software para cálculo da densidade de nódulos de grafita em ferro fundido nodular através de Processamento Digital de Imagens Matéria (Rio de Janeiro), 2015 DOI:10.1590/S1517-707620150001.0026

[15]	Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques Journal of Experimental & Theoretical Artificial Intelligence, 2015 DOI:10.1080/0952813X.2015.1020526

[16]	Lung disease detection using feature extraction and extreme learning machine Revista Brasileira de Engenharia Biomédica, 2014 DOI:10.1590/rbeb.2014.019

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

Journals Menu

Home

About SCIRP

Service

Policies