ReliefF-Based Feature Selection for Automatic Tumor Classification of Mammogram Images
Abed Heshmati,Roya Amjadifard,Jamshid Shanbehzadeh +2 more
- pp 1-5
Abstract:
NAread more
Citations
More filters
Journal ArticleDOI
Radiomics: the process and the challenges
Virendra Kumar,Yuhua Gu,Satrajit Basu,Anders Berglund,Steven A. Eschrich,Matthew B. Schabath,Kenneth M. Forster,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts,Andre Dekker,David Fenstermacher,Dmitry B. Goldgof,Lawrence O. Hall,Philippe Lambin,Yoganand Balagurunathan,Robert A. Gatenby,Robert J. Gillies +16 more
TL;DR: "Radiomics" refers to the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images obtained with computed tomography, positron emission tomography or magnetic resonance imaging, leading to a very large potential subject pool.
Journal ArticleDOI
Performance Evaluation of a Proposed Machine Learning Model for Chronic Disease Datasets Using an Integrated Attribute Evaluator and an Improved Decision Tree Classifier
Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Akash Kumar Bhoi,Alfonso González-Briones +4 more
TL;DR: A new hybrid Attribute Evaluator method has been proposed which effectively integrates enhanced K-Means clustering with the CFS filter method and the BFS wrapper method and was evaluated with an improved decision tree classifier.
Proceedings ArticleDOI
Wavelet Packets Based Spectral Estimation of Textured Images
Satya P. Singh,Shabana Urooj +1 more
TL;DR: In this paper, a mathematical background has been constructed for wavelet packet based texture analysis of self similar images and a wavelet based PSD estimator based on 2D wavelet packets was proposed.
Dissertation
Machine Learning of Circulatory Oscillations in Cardiac Surgical Patients
TL;DR: Principal component analysis (PCA) has been performed of the CWT data, to investigate changes in the circulatory system due to the CABG surgery, and showed a small distinction between pre and post surgery observations.
Dissertation
Grey relational analysis feature selection for cancer classification using support vector machine
TL;DR: The results showed that the proposed GRA-SVM and IGRA- SVM classification models have achieved better performance in classifying the cancer data with better results ranging between 2.64% to 88.9% in the selection of potential variables.
References
More filters
Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Book ChapterDOI
Estimating attributes: analysis and extensions of RELIEF
TL;DR: In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them and is analysed and extended to deal with noisy, incomplete, and multi-class data sets.
Journal ArticleDOI
The Nature Of Statistical Learning Theory
TL;DR: As one of the part of book categories, the nature of statistical learning theory always becomes the most wanted book.
Journal ArticleDOI
Computer-aided detection and classification of microcalcifications in mammograms: a survey
TL;DR: The high correlation between the appearance of the microcalcification clusters and the diseases show that the CAD (computer aided diagnosis) systems for automated detection/classification of MCCs will be very useful and helpful for breast cancer control.
Journal ArticleDOI
Support-vector-based fuzzy neural network for pattern classification
TL;DR: Experimental results show that the proposed SVFNN for pattern classification can achieve good classification performance with drastically reduced number of fuzzy kernel functions.
Related Papers (5)
Classification of Microcalcification Using Dual-Tree Complex Wavelet Transform and Support Vector Machine
Andy Tirtajaya,Diaz D. Santika +1 more