An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier
Authors
Keywords
Fog computing, Fuzzy C-means, Region growing segmentation, Cuckoo search optimization algorithm, SVMclassifier
Journal
Journal of Ambient Intelligence and Humanized Computing
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2017-12-18
DOI
10.1007/s12652-017-0655-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A non-invasive methodology for the grade identification of astrocytoma using image processing and artificial intelligence techniques
- (2016) M. Monica Subashini et al. EXPERT SYSTEMS WITH APPLICATIONS
- Classification of benign and malignant breast tumors based on hybrid level set segmentation
- (2016) Rahimeh Rouhi et al. EXPERT SYSTEMS WITH APPLICATIONS
- An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy
- (2015) Shiwen Shen et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automated lung segmentation and smoothing techniques for inclusion of juxtapleural nodules and pulmonary vessels on chest CT images
- (2014) Shengjun Zhou et al. Biomedical Signal Processing and Control
- Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM
- (2014) Alex Martins Santos et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Fuzzy c-means clustering based on spatial neighborhood information for image segmentation
- (2014) Yanling Li et al. Journal of Systems Engineering and Electronics
- PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses
- (2014) Xiaoyong Liu et al. TheScientificWorldJOURNAL
- Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set
- (2013) Tao Sun et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Lung cancer classification using neural networks for CT images
- (2013) Jinsa Kuruvilla et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A biological continuum based approach for efficient clinical classification
- (2013) Darwin Tay et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Automatic segmentation of lung nodules with growing neural gas and support vector machine
- (2012) Stelmo Magalhães Barros Netto et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A novel image mining technique for classification of mammograms using hybrid feature selection
- (2012) Aswini Kumar Mohanty et al. NEURAL COMPUTING & APPLICATIONS
- A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms
- (2011) Pinar Civicioglu et al. ARTIFICIAL INTELLIGENCE REVIEW
- Hybrid segmentation, characterization and classification of basal cell nuclei from histopathological images of normal oral mucosa and oral submucous fibrosis
- (2011) M. Muthu Rama Krishnan et al. EXPERT SYSTEMS WITH APPLICATIONS
- A New Expert System for Diagnosis of Lung Cancer: GDA—LS_SVM
- (2011) Engin Avci JOURNAL OF MEDICAL SYSTEMS
- A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines
- (2011) Mohammad Reza Daliri JOURNAL OF MEDICAL SYSTEMS
- Random forest based lung nodule classification aided by clustering
- (2010) S.L.A. Lee et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models
- (2010) Toshiro Kubota et al. MEDICAL IMAGE ANALYSIS
- Methodology for automatic detection of lung nodules in computerized tomography images
- (2009) João Rodrigo Ferreira da Silva Sousa et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Automated classification of cells in sub-epithelial connective tissue of oral sub-mucous fibrosis—An SVM based approach
- (2009) M. Muthu Rama Krishnan et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Pulmonary Nodules: Detection, Assessment, and CAD
- (2008) Francis Girvin et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Automatic lung nodule matching on sequential CT images
- (2008) Helen Hong et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Segmentation of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach
- (2008) J. Dehmeshki et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations
- (2008) Jiantao Pu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More