[PDF] Top 20 Classification & Detection of Lung Nodule using Patched Based Context Analysis Method with Support Vector Machine

Classification & Detection of Lung Nodule using Patched Based Context Analysis Method with Support Vector Machine

... world. Lung cancer is a major cause of cancer-related deaths in humans ...with lung nodules represent lung cancers; therefore, the identification of potentially malignant lung nodules is ... See full document

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LUNG NODULE DETECTION USING PATCHED BASED CONTEXT ANALYSIS METHOD WITH SUPPORT VECTOR MACHINE: A REVIEW

... stage. Lung nodule, which leads to lung cancer is detected by various medical imaging techniques which includes X-ray, Computerized Tomography ...(CT). Classification as well as ... See full document

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Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method

... known lung adenocarcinoma ...about lung adenocarcinoma related genes that have been confirmed in ...then lung adenocarcinoma-related genes were retrieved from the ... See full document

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Support Vector Machine based Classification into Groups using Discriminant Function

... set method was used for hippocampus ...computerized analysis for hippocampus ...border detection the level set method is ...border detection method was applied to all slices and ... See full document

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Lung Cancer Detection Using Machine Learning Techniques

... of lung cancer and also for early detection and treatment to intercept the lung ...the lung cancer various features are extracted from the images therefore, pattern recognition based ... See full document

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Spatial Prediction of Landslides using Time Series Analysis and Support Vector Machine

... and support vector machine, which is the SVM- NN ...Tree based Chi-Squared Automatic Iteration Detection ...tree based on 13 conditioning factors and thereby achieving prediction ... See full document

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Texture Analysis of Ultrasound Medical Images for Diagnosis of Thyroid Nodule Using Support Vector Machine

... Texture analysis of ultrasound medical images using quantitative information of the tissue characterization is used for the detection of thyroid ...co-occurrence based texture features being ... See full document

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Linear Discriminant Analysis based Hybrid SVM-CART for Intrusion Detection System

... Discriminant Analysis based Support Vector Machine-Classification and Regression ...a support vector along the main component and classifies various data into ... See full document

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Application of Machine Learning Techniques for the Diagnosis of Lung Cancer with ANT Colony Optimization

... early detection and lack of successful treatment metastatic ...early lung cancer have lower lung cancer-related mortality than those with extensive disease, suggesting early detection and ... See full document

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Lung Nodule Classification Using Multilevel Patch Based Context Analysis and Decision Tree Classifier

... of lung nodules, ...The method is capable to perform fully automatic segmentation and nodule detection from CT Scan Lungs images, based solely on information contained by the image ... See full document

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Attribute Based Face Classification Using Support Vector Machine

... determinations using neural network ...work using support vector ...face detection and classification based on ...face detection based on pose and ... See full document

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Classification of power disturbances using multilevel support vector Machine

... effective classification algorithm based on WT and SVM is proposed for identifying power quality ...effective classification algorithm, it is essential to choose robust and adequate features that can ... See full document

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Using Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes

... by using the integration of the KICA and manifold ...A method is proposed based on the KICA, LLE and fuzzy knearest neighbor ...diagnosis method based on manifold learning reported in ... See full document

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Signal Classification Method Based on Support Vector Machine and High Order Cumulants

... multi-class classification problem of SVM [9]: One is to properly change the original optimal problem in order to compute all the multi-class classification discriminant functions at the same time; the ... See full document

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A Face Detection Method Based on Sliding Window and Support Vector Machine

... proposed method in this paper is 0.857, while the average detection accuracy of the PCA algorithm is ...proposed method in this paper has high recognition ...proposed method, the green box ... See full document

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Document Classification Using Support Vector Machine

... We determined the average accuracy of three classes is 66.667%. We finally conclude our work by proving that we developed very efficient and reliable classification technique. Our technique majorly focused on news ... See full document

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Efficient Cluster Based Classification in Big Data Analysis using Support Vector Machine

... Some people exclusively associate big data with semi-structured and unstructured data of that sort, but consulting firms like Gartner Inc. and Forrester Research Inc. also consider transactions and other structured data ... See full document

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A Novel Approach for MRI Brain Image Classification and Detection

... tumor detection method for MRI ...by using testing & training the ...and classification. In the first step, median based filters and SWT technique are used for de-noising the ... See full document

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Robust Classification of Primary Brain Tumor in MRI Images Based on Multi Model Textures Features and Kernel Based SVM

... novel method of classification of primary brain tumor in MRI images using multi model texture features and kernel based support vector ...matrix based feature ... See full document

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An Efficient Algorithm for Real-Time Object Detection in Images

... object detection, this paper presents object detection based on deep learning of small ...and support vector machine, which can realize object detection of a ...proposed ... See full document

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