政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/126332

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 109927/140876 (78%)
Visitors : 45971664 Online Users : 378

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > College of Liberal Arts > Graduate Institute of Library, Information and Archival Studies > Periodical Articles > Item 140.119/126332

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/126332

Title:	Intensity-Invariant Texture Analysis for Classification of BI-RADS Category 3 Breast Masses
Authors:	羅崇銘 Lo, Chung-Ming Moon, Woo Kyung Huang, Chiun-Sheng Chen, Jeon-Hor Yang, Min- Chun Chang*, Ruey-Feng
Contributors:	圖檔所
Keywords:	Breast cancer;Breast imaging and reporting data system;Computer-aided diagnosis;Ranklet;Ultrasound
Date:	2015-03
Issue Date:	2019-09-19 09:54:16 (UTC+8)
Abstract:	Radiologists likely incorrectly classify benign masses as Breast Imaging Reporting and Data System (BIRADS) category 3. A computer-aided diagnosis (CAD) system was developed in this study as a second viewer to avoid misclassification of carcinomas. Sixty-nine biopsy-proven BI-RADS category 3 masses, including 21 malignant and 48 benign masses, were used to evaluate the CAD system. To improve the texture features, gray-scale variations between images were reduced by transforming pixels into intensity-invariant ranklet coefficients. The textures of the tumor and speckle pixels were extracted from the transformed ranklet images to provide more robust features than in conventionalCADsystems. As a result, tumor texture and speckle texture with ranklet transformation achieved significantly better areas under the receiver operating characteristic curve (Az) compared with those without ranklet transformation (Az = 0.83 vs. 0.58 and Az = 0.80 vs. 0.56, p value <0.05). The improved CAD system can be a second reader to confirm the classification of BI-RADS category 3 masses.
Relation:	Ultrasound in Medicine and Biology, Vol.41, No.7, pp.2039-2048
Data Type:	article
DOI link:	https://doi.org/10.1016/j.ultrasmedbio.2015.03.003
DOI:	10.1016/j.ultrasmedbio.2015.03.003
Appears in Collections:	[Graduate Institute of Library, Information and Archival Studies] Periodical Articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	290	View/Open
13.pdf	post-print version	493Kb	Adobe PDF2	151	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...