Paper Info
Title
Medical images modality classification using multi-scale dictionary learning
Abstract
In this paper, we proposed a method for classification of medical images captured by different sensors (modalities) based on multi-scale wavelet representation using dictionary learning. Wavelet features extracted from an image provide discrimination useful for classification of medical images, namely, diffusion tensor imaging (DTI), magnetic resonance imaging (MRI), magnetic resonance angiography (MRA) and functional magnetic resonance imaging (FRMI). The ability of On-line dictionary learning (ODL) to achieve sparse representation of an image is exploited to develop dictionaries for each class using multi-scale representation (wavelets) feature. An experimental analysis performed on a set of images from the ICBM medical database demonstrates efficacy of the proposed method.
Year
DOI
Venue
2014
10.1109/ICDSP.2014.6900739
Digital Signal Processing
Keywords
Field
DocType
biodiffusion,biomedical MRI,feature extraction,image classification,image representation,learning (artificial intelligence),medical image processing,wavelet transforms,DTI,FRMI,ICBM medical database,MRA,MRI,ODL,diffusion tensor imaging,functional magnetic resonance imaging,magnetic resonance angiography,magnetic resonance imaging,medical image modality classification,multiscale dictionary learning,multiscale wavelet representation,online dictionary learning,sensors,sparse image representation,wavelet feature extraction,DTI,FMRA,MRA,MRI,Medical X-ray image,Multi-scale Dictionary Learning,Multi-scale representation,ODL,Sparse representation,Wavelet
Computer vision,Diffusion MRI,Dictionary learning,Functional magnetic resonance imaging,Pattern recognition,Computer science,Sparse approximation,Artificial intelligence,Magnetic resonance angiography,Big data,Magnetic resonance imaging,Wavelet
Conference
ISSN
Citations 
PageRank 
1546-1874
1
0.37
References 
Authors
17
2
Name
Order
Citations
PageRank
M. Srinivas1323.97
C. Krishna Mohan212417.83