Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images
Authors
Keywords
COVID-19, Chest CT, Pulmonary parenchyma segmentation, Deep learning, 3D V-Net
Journal
PATTERN RECOGNITION
Volume 119, Issue -, Pages 108071
Publisher
Elsevier BV
Online
2021-06-02
DOI
10.1016/j.patcog.2021.108071
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
- (2020) Chaolin Huang et al. LANCET
- CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
- (2020) Michael Chung et al. RADIOLOGY
- Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19
- (2020) Katelyn Gostic et al. eLife
- Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
- (2020) Kang Zhang et al. CELL
- Application of Deep Learning for Fast Detection of COVID-19 in X-Rays using nCOVnet
- (2020) Harsh Panwar et al. CHAOS SOLITONS & FRACTALS
- Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features
- (2020) Ali M. Hasan et al. Entropy
- Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
- (2020) Lin Li et al. RADIOLOGY
- The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
- (2020) Alex Zwanenburg et al. RADIOLOGY
- Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
- (2020) Ali Abbasian Ardakani et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
- (2020) Dilbag Singh et al. EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES
- A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic
- (2020) Mohamed Loey et al. MEASUREMENT
- What the data say about asymptomatic COVID infections
- (2020) Bianca Nogrady NATURE
- Added Value of Ultra–low-dose Computed Tomography, Dose Equivalent to Chest X-Ray Radiography, for Diagnosing Chest Pathology
- (2019) Lucia J.M. Kroft et al. JOURNAL OF THORACIC IMAGING
- Deep learning for image-based cancer detection and diagnosis − A survey
- (2018) Zilong Hu et al. PATTERN RECOGNITION
- Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance
- (2017) Tuan Anh Ngo et al. MEDICAL IMAGE ANALYSIS
- CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges
- (2017) Meghan G. Lubner et al. RADIOGRAPHICS
- A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI
- (2016) M.R. Avendi et al. MEDICAL IMAGE ANALYSIS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now