Support Vector Machine Model for Diagnosing Pneumoconiosis Based on Wavelet Texture Features of Digital Chest Radiographs

Artificial intelligence techniques for clutter identification with polarimetric radar signatures

(2012) Tanvir Islam et al.   ATMOSPHERIC RESEARCH

Performance comparison of artificial neural network and logistic regression model for differentiating lung nodules on CT scans

(2012) Hui Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY

Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool

(2011) M. Elangovan et al.   EXPERT SYSTEMS WITH APPLICATIONS

General framework for class-specific feature selection

(2011) Bárbara B. Pineda-Bautista et al.   EXPERT SYSTEMS WITH APPLICATIONS

Computerized Analysis of Pneumoconiosis in Digital Chest Radiography: Effect of Artificial Neural Network Trained with Power Spectra

(2010) Eiichiro Okumura et al.   JOURNAL OF DIGITAL IMAGING

An Automatic Computer-Aided Detection Scheme for Pneumoconiosis on Digital Chest Radiographs

(2010) Peichun Yu et al.   JOURNAL OF DIGITAL IMAGING

Effect of finite sample size on feature selection and classification: A simulation study

(2010) Ted W. Way et al.   MEDICAL PHYSICS

Prediction of Malignant Breast Lesions from MRI Features

(2009) Christine E. McLaren et al.   ACADEMIC RADIOLOGY

Feature Selection and Performance Evaluation of Support Vector Machine (SVM)-Based Classifier for Differentiating Benign and Malignant Pulmonary Nodules by Computed Tomography

(2009) Yanjie Zhu et al.   JOURNAL OF DIGITAL IMAGING

Classifier performance prediction for computer-aided diagnosis using a limited dataset

(2008) Berkman Sahiner et al.   MEDICAL PHYSICS