4.6 Article

Lung nodules detection using semantic segmentation and classification with optimal features

Related references

Note: Only part of the references are listed.
Article Health Care Sciences & Services

Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss

Giang Son Tran et al.

JOURNAL OF HEALTHCARE ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Artificial neural network based classification of lung nodules in CT images using intensity, shape and texture features

Fursian Shaukat et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2019)

Article Oncology

Cancer statistics, 2019

Rebecca L. Siegel et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2019)

Article Computer Science, Software Engineering

Hybrid-feature-guided lung nodule type classification on CT images

Jingjing Yuan et al.

COMPUTERS & GRAPHICS-UK (2018)

Review Radiology, Nuclear Medicine & Medical Imaging

Survey of Computer Aided Detection Systems for Lung Cancer in Computed Tomography

Salsabil A. El-Regaily et al.

CURRENT MEDICAL IMAGING (2018)

Article Computer Science, Information Systems

Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM

Antonio Oseas de Carvalho Filho et al.

JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (2017)

Article Computer Science, Artificial Intelligence

Lung nodule classification using artificial crawlers, directional texture and support vector machine

Bruno Rodrigues Froz et al.

EXPERT SYSTEMS WITH APPLICATIONS (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

Fully automatic detection of lung nodules in CT images using a hybrid featureset

Furqan Shaukat et al.

MEDICAL PHYSICS (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner Society

Alexander A. Bankier et al.

RADIOLOGY (2017)

Article Engineering, Biomedical

Three-dimensional lung nodule segmentation and shape variance analysis to detect lung cancer with reduced false positives

Senthilkumar Krishnamurthy et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE (2016)

Article Mathematical & Computational Biology

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images

Wei Li et al.

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2016)

Article Computer Science, Interdisciplinary Applications

A novel approach to CAD system for the detection of lung nodules in CT images

Muzzamil Javaid et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

Review Computer Science, Interdisciplinary Applications

Automatic 3D pulmonary nodule detection in CT images: A survey

Igor Rafael S. Valente et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

Article Computer Science, Interdisciplinary Applications

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Computer Science, Interdisciplinary Applications

A parameterized logarithmic image processing method with Laplacian of Gaussian filtering for lung nodule enhancement in chest radiographs

Sheng Chen et al.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2016)

Article Mathematical & Computational Biology

Pulmonary Nodules Detection and Classification Using Hybrid Features from Computerized Tomographic Images

Sheeraz Akram et al.

JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Ensemble Tree Learning Techniques for Magnetic Resonance Image Analysis

Javier Ramirez et al.

INNOVATION IN MEDICINE AND HEALTHCARE 2015 (2016)

Article Automation & Control Systems

Proposing a classifier ensemble framework based on classifier selection and decision tree

Hamid Parvin et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Hybrid detection of lung nodules on CT scan images

Lin Lu et al.

MEDICAL PHYSICS (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Automatic detection of large pulmonary solid nodules in thoracic CT images

Arnaud A. A. Setio et al.

MEDICAL PHYSICS (2015)

Article Geochemistry & Geophysics

A relative evaluation of multiclass image classification by support vector machines

GM Foody et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2004)