DC 欄位 | 值 | 語言 |
dc.contributor.author | RUEY-FENG CHANG | en_US |
dc.contributor.author | Wen-Jie Wu | en_US |
dc.contributor.author | Woo Kyung Moon | en_US |
dc.contributor.author | Dar-Ren Chen | en_US |
dc.creator | Ruey-Feng Chang;Wen-Jie Wu;Woo Kyung Moon;Dar-Ren Chen | - |
dc.date.accessioned | 2018-09-10T04:30:58Z | - |
dc.date.available | 2018-09-10T04:30:58Z | - |
dc.date.issued | 2003-05 | - |
dc.identifier.issn | 03015629 | - |
dc.identifier.uri | http://scholars.lib.ntu.edu.tw/handle/123456789/302563 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0038670778&doi=10.1016%2fS0301-5629%2802%2900788-3&partnerID=40&md5=040f562241f9c5eda5642b16e0f78a89 | - |
dc.description.abstract | Recent statistics show that breast cancer is a major cause of death among women in developed countries. Hence, finding an accurate and effective diagnostic method is very important. In this paper, we propose a high precision computer-aided diagnosis (CAD) system for sonography. We utilize a support vector machine (SVM) to classify breast tumors according to their texture information surrounding speckle pixels. We test our system with 250 pathologically-proven breast tumors including 140 benign and 110 malignant ones. Also we compare the diagnostic performances of three texture features, i.e., speckle-emphasis texture feature, nonspeckle-emphasis texture feature and conventional all pixels texture feature, applied to breast sonography using SVM. In our experiment, the accuracy of SVM with speckle information for classifying malignancies is 93.2% (233/250), the sensitivity is 95.45% (105/110), the specificity is 91.43% (128/140), the positive predictive value is 89.74% (105/117) and the negative predictive value is 96.24% (128/133). Based on the experimental results, speckle phenomenon is a useful tool to be used in computer-aided diagnosis; its performance is better than those of the other two features. Speckle phenomenon, which is considered as noise in sonography, can intrude into judgments of a physician using naked eyes but it is another story for application in a computer-aided diagnosis algorithm. © 2003 World Federation for Ultrasound in Medicine & Biology. | - |
dc.language | en | en |
dc.relation.ispartof | Ultrasound in Medicine & Biology | en_US |
dc.source | AH | - |
dc.subject | Breast ultrasound; Computer-aided Diagnosis; Speckle; Support vector machine | - |
dc.subject.other | Algorithms; Computer aided diagnosis; Pathology; Speckle; Textures; Tumors; Support vector machines (SVM); Ultrasonics; article; breast tumor; cancer classification; cancer staging; computer aided design; computer simulation; correlation coefficient; device; diagnostic accuracy; diagnostic imaging; discriminant analysis; human; image analysis; intermethod comparison; prediction; priority journal; signal noise ratio | - |
dc.title | Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis | - |
dc.type | journal article | en |
dc.identifier.doi | 10.1016/s0301-5629(02)00788-3 | - |
dc.identifier.pmid | 12754067 | - |
dc.identifier.scopus | 2-s2.0-0038670778 | - |
dc.relation.pages | 679--686 | - |
dc.relation.journalvolume | 29 | - |
dc.relation.journalissue | 5 | - |
item.fulltext | with fulltext | - |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Biomedical Electronics and Bioinformatics | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Center for Artificial Intelligence and Advanced Robotics | - |
crisitem.author.orcid | 0000-0002-2086-0097 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 資訊工程學系
|