1 research outputs found
Classification of Medical Data Based On Sparse Representation Using Dictionary Learning
Due to the increase in the sources of image acquisition and storage capacity, the
search for relevant information in large medical image databases has become more
challenging. Classification of medical data into different categories is an important
task, and enables efficient cataloging and retrieval with large image collections. The
medical image classification systems available today classify medical images based on
modality, body part, disease or orientation. Recent work in this direction seek to use
the semantics of medical data to achieve better classification. However, representation
of semantics is a challenging task and sparse representation has been explored in this
thesis for this task