Name
Title | ||
|---|---|---|
Microcalcification Classification Assisted by Content-Based Image Retrieval for Breast Cancer Diagnosis |
Abstract | ||
|---|---|---|
In this paper we propose a microcalcification classification scheme, assisted by content-based mammogram retrieval, for breast cancer diagnosis. We recently developed a machine learning approach for mammogram retrieval where the similarity measure between two lesion mammograms is modeled after expert observers. In this work we investigate how to use retrieved similar cases as references to improve the performance of a numerical classifier. Our rationale is that by adap-tively incorporating local proximity information into a classifier, it can help improve its classification accuracy, thereby leading to an improved "second opinion" to radiologists. Our experimental results on a mammogram database demonstrate that the proposed retrieval-driven approach with an adaptive support vector machine (SVM) could improve the classification performance from 0.78 to 0.82 in terms of the area under the ROC curve. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICIP.2007.4379750 | ICIP (5) |
Keywords | Field | DocType |
mammography,learning (artificial intelligence),breast cancer diagnosis,content-based image retrieval,mammogram database,image classification,image retrieval,microcalcification classification,classification accuracy,similarity measure,adaptive support vector machine,machine learning,content-based mammogram retrieval,content-based retrieval,support vector machines,medical image processing,local proximity information,support vector machine,indexing terms,learning artificial intelligence,roc curve | Similarity measure,Computer science,Image retrieval,Artificial intelligence,Contextual image classification,Classifier (linguistics),Computer vision,Mammography,Microcalcification,Pattern recognition,Support vector machine,Machine learning,Content-based image retrieval | Conference |
Volume | ISSN | ISBN |
5 | 1522-4880 E-ISBN : 978-1-4244-1437-6 | 978-1-4244-1437-6 |
Citations | PageRank | References |
4 | 0.63 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongyi Yang | 1 | 1409 | 140.74 |
| Liyang Wei | 2 | 167 | 12.04 |
| Robert M Nishikawa | 3 | 599 | 58.25 |