Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We propose a novel method based on sparse representation for breast ultrasound image classification under the framework of multi-instance learning (MIL).
After image enhancement and segmentation, concentric circle is used to extract the global and local features for improving the accuracy in diagnosis and prediction.
The classification problem of ultrasound image is converted to sparse representation based MIL problem.
Each instance of a bag is represented as a sparse linear combination of all basis vectors in the dictionary, and then the bag is represented by one feature vector which is obtained via sparse representations of all instances within the bag.
The sparse and MIL problem is further converted to a conventional learning problem that is solved by relevance vector machine (RVM).
Results of single classifiers are combined to be used for classification.
Experimental results on the breast cancer datasets demonstrate the superiority of the proposed method in terms of classification accuracy as compared with state-of-the-art MIL methods.
American Psychological Association (APA)
Bing, Lu& Wang, Wei. 2017. Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1142325
Modern Language Association (MLA)
Bing, Lu& Wang, Wei. Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1142325
American Medical Association (AMA)
Bing, Lu& Wang, Wei. Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1142325
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142325