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Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images
2014
Medical Image Analysis
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This allows for a presumptive diagnosis and an approximate prognosis, on which we can base decisions on therapeutic management and follow-up procedures ...
In recent years, detection of pulmonary nodules has increased as a result of the use of multislice computed tomography (MSCT) and the implementation of lung cancer screening programs with low-dose computed ...
In February 2011, a new ACA classification was published using a multidisciplinary approach, based on the joint work of the International Association for the Study of Lung Cancer, the American Thoracic ...
doi:10.1016/j.media.2013.12.001
pmid:24434166
fatcat:qzftob7qvnho3gxombuwecqt4e
Computer analysis of computed tomography scans of the lung: a survey
2006
IEEE Transactions on Medical Imaging
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This paper presents a review of the literature on computer analysis of the lungs in CT scans and addresses segmentation of various pulmonary structures, registration of chest scans, and applications aimed ...
at detection, classification and quantification of chest abnormalities. ...
on multislice CT data sets. ...
doi:10.1109/tmi.2005.862753
pmid:16608056
fatcat:q5ysngkgozbbrfwn7tbb2fvunu
Classification Algorithm-Based CT Imaging in Diagnosis of Acute Respiratory Distress Syndrome and Analysis of Pathogenic Factors
2021
Scientific Programming
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The study focused on the application value of classification algorithms in processing CT images of acute respiratory distress syndrome (ARDS) and aimed to analyze the pathogenic factors of ARDS. ...
In conclusion, the FWAC algorithm has a good classification ability of the CT images of ARDS and demonstrates high accuracy. ...
Accuracy Comparison of Classification Algorithms. Figure 5 shows the CT images of the lung. ...
doi:10.1155/2021/4100856
fatcat:wsjueb6chbfyxgdsicltc3oube
Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images
2006
Computerized Medical Imaging and Graphics
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A sequential region-splitting process is used to segment lungs, airway of bronchus, lung lobes and fissures based on the anatomical structures and statistical intensity distributions in CT images. ...
The performance of our scheme is evaluated by segmenting lung structures from high-resolution multi-slice chest CT images from 44 patients; the validity of our method was proved by preliminary experimental ...
Acknowledgements The authors thank the members of Fujita's Laboratory and the Virtual System Laboratory (VSL) of Gifu University for their collaboration. ...
doi:10.1016/j.compmedimag.2006.06.002
pmid:16920331
fatcat:tz3mv7qv5zccnkocchdzab75di
Correlation of radio- and histomorphological pattern of pulmonary adenocarcinoma
2012
European Respiratory Journal
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Recently, a novel classification system based on tumour architecture and with high prognostic impact has been proposed for pulmonary adenocarcinomas (ADCs). ...
These data may form the basis for the development of future prognostic algorithms in the palliative setting, which include an integrated evaluation of biopsy histomorphology and CT scan morphology of nonresectable ...
Based on this cohort, our picture archiving and communication system (PACS) was screened for available pre-operative multislice CT scans. This resulted in 174 evaluable cases. ...
doi:10.1183/09031936.00056612
pmid:22835610
fatcat:nt7xvsp7dvdjpntndjmhxphyyy
CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing
2021
Computational and Mathematical Methods in Medicine
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It suggested that the changes of CT images based on the FBP reconstruction algorithm were correlated with fasting blood glucose level. ...
The study was aimed at exploring the application value of the CT image based on a filtered back projection (FBP) algorithm in the diagnosis of patients with diabetes complicated with tuberculosis and at ...
CT Imaging. X-ray is a way for CT to obtain information on the internal structure of the human body. ...
doi:10.1155/2021/1101930
pmid:34840593
pmcid:PMC8616654
fatcat:ozcuortxjbgjzeepnw7gt6zdx4
Utility of 18F-FDG PET/CT in the assessment of lymphoepithelioma-like carcinoma
2016
Nuclear medicine communications
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Although the features on 18 F-FDG PET/CT are not specific, 18 FDG PET/CT offers valuable information on disease management of LELC. ...
Methods: We reviewed 7 patients with histologically proven LELC who underwent 18 F-FDG PET/CT for disease evaluation. ...
All examinations were performed using dedicated PET/CT scanner (Discovery VCT, 64-multislice CT, GE Healthcare Bio-Sciences Corp.), covering from the skull base to the upper thighs. ...
doi:10.1097/mnm.0000000000000475
pmid:26741291
fatcat:sdvq7u7ppbcazeu335sxhopcw4
Pulmonary Emphysema Regional Distribution and Extent Assessed by Chest Computed Tomography Is Associated With Pulmonary Function Impairment in Patients With COPD
2021
Frontiers in Medicine
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and assessed its regional distribution based on an artificial neural network (ANN) trained for this purpose. ...
, who presented radiological evidence of emphysema on visual CT inspection were retrospectively enrolled. ...
One-way ANOVA was used to compare the variables among the Global Initiative for Chronic Obstructive Lung Disease (GOLD) severity subgroups. ...
doi:10.3389/fmed.2021.705184
pmid:34631729
pmcid:PMC8494782
fatcat:xlg5dhyvfvg3bdrd4ue3g5ytce
Computed tomography and pathology evaluation of lung ground‑glass opacity
2018
Experimental and Therapeutic Medicine
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Computed tomography (CT) images of 106 lung GGO cases were analyzed retrospectively, and the type, location, size, structure, boundaries and surrounding lung fields were evaluated. ...
The aim of this study was to investigate the pathogenesis of lung ground-glass opacity (GGO) and the diagnostic value of computed tomography scan for lung GGO. ...
Acknowledgements The authors would like to thank Professor Jizheng Lin from the Department of Radiology, Affiliated Hospital of ...
doi:10.3892/etm.2018.6886
pmid:30542487
pmcid:PMC6257275
fatcat:mhlfmi3xujdcnm42qlv2qpqs7i
Computed Tomography Studies of Lung Mechanics
2005
Proceedings of the American Thoracic Society online
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This review presents an overview of CT measurement principles and limitations for the study of regional mechanics, reviews some of the early work that set the stage for modern imaging approaches and impacted ...
the understanding and management of patients with acute lung injury, and presents evolving novel approaches for the analysis and application of dynamic volumetric lung image data. ...
CT-based measures of lung mechanical function rely on one of two principles, both of which are discussed in detail below. ...
doi:10.1513/pats.200507-076ds
pmid:16352757
pmcid:PMC2713339
fatcat:b6pc6smdwbe7tkk6w52madglay
Computed Tomography Images under Deep Learning Algorithm in the Diagnosis of Perioperative Rehabilitation Nursing for Patients with Lung Cancer
2022
Scientific Programming
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This study aim was to explore the application effect of computed tomography (CT) image segmentation based on deep learning algorithm in the diagnosis of lung cancer. ...
In summary, the HFFM constructed in this study can be used for segmentation and classification of CT images of lung cancer patients, which can improve the accuracy of diagnosis and help improve the lung ...
Methods
CT Segmentation of Lung Cancer Based on Deep Learning. e current methods used for medical image segmentation processing are mainly divided into techniques based on manual features and depth features ...
doi:10.1155/2022/8685604
fatcat:uqkvocj7mjfalh2hlurcsny2ma
Pulmonary Airways: 3-D Reconstruction From Multislice CT and Clinical Investigation
2004
IEEE Transactions on Medical Imaging
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It relies on an energy-based three-dimensional (3-D) reconstruction of the bronchial tree from multislice CT acquisitions, up to the sixthto seventh-order subdivisions. ...
In the framework of computer-aided diagnosis, this paper proposes a novel functionality for the computerized tomography (CT)-based investigation of the pulmonary airways. ...
Perchet for her help in selecting the endoluminal views illustrating this paper. ...
doi:10.1109/tmi.2004.826945
pmid:15554124
fatcat:yxw2fgm35bh6difnr5qhfoc7ta
High-Resolution CT of the Lung: Patterns of Disease and Differential Diagnoses
2005
The Radiologic clinics of North America
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Classification of emphysema: approach using high-resolution CT. ...
(B) Axial HRCT image through the lung bases shows subpleural reticulation (arrow), suggestive of fibrotic lung disease. ...
doi:10.1016/j.rcl.2005.01.010
pmid:15847814
fatcat:qdefcjnbnbeddjgfjs3jion2oq
Modern Diagnosis in the Evaluation of Pulmonary Vascular Disease
[chapter]
2019
Communications in Computer and Information Science
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Optimized Evaluation of Pulmonary Vessels on Chest CT Examinations Temporal Resolution of Pulmonary CT Angiograms Given the anatomical complexity of the lungs, the most crucial prerequisite for optimal ...
In general clinical routine, however, CT remains the imaging modality of choice for evaluation of patients with suspected pulmonary vascular disease. ...
This is based on the following: Among the various imaging modalities available in recent decades, com-puted tomography (CT) has remained the core technique for evaluating respiratory disorders. ...
doi:10.1007/978-3-030-11149-6_17
fatcat:elubym7czfelneo25vubkzgg4u
Computed Tomography Screening for Lung Cancer: Principles and Results
2005
Clinical Cancer Research
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Although it is generally accepted that low-dose computed tomography (CT) screening leads to early diagnosis of lung cancer in a high percentage of the cases, the logical consequence of the current knowledge ...
In modern healthcare, one of the most public, most important, and at the same time complicated and scientifically demanding topics is screening for a cancer. ...
Based on this evidence, annual CT screening provides for detecting the disease at earlier and presumably more commonly curable stages in a cost-effective manner (10). ...
doi:10.1158/1078-0432.ccr-05-9014
pmid:16000600
fatcat:kqjw2dn7mjfzbptlprroo6le54
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