Computer-aided diagnosis of breast tumors using textures from intensity transformed sonographic images

Chung Ming Lo, R. F. Chang, C. S. Huang, W. K. Moon

研究成果: 書貢獻/報告類型會議貢獻

6 引文 斯高帕斯(Scopus)

摘要

The malignancy of breast tumors are evaluated via ultrasound images on clinical examination. As a second viewer, a computer-aided diagnosis (CAD) system was developed to classify the breast tumors using texture features to avoid misclassifying carcinomas. A total of 69 cases including 21 malignant and 48 benign masses were acquired. For intensity- invariant texture extraction, the ultrasound images were first transformed into ranklet images to reduce the effect of brightness variability. From the ranklet images, tumor texture and speckle texture were extracted and compared to those from the original ultrasound images for tumor diagnosis. In the trade-offs between sensitivity and specificity, the rankletbased tumor texture and speckle texture were all significantly better than those of the original US images (Az: 0.83 vs. 0.58, p-value=0.0009 and Az=0.80 vs. 0.56, p-value=0.02). The proposed CAD system using textures from intensity transformed sonographic images is robust to various gray-scale distributions and is more suitable in clinical use.
原文英語
主出版物標題IFMBE Proceedings
發行者Springer Verlag
頁面124-127
頁數4
47
ISBN(列印)9783319122618
DOIs
出版狀態已發佈 - 2015
對外發佈
事件1st Global Conference on Biomedical Engineering, GCBME 2014 and 9th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2014 - Tainan, 臺灣
持續時間: 10月 9 201410月 12 2014

其他

其他1st Global Conference on Biomedical Engineering, GCBME 2014 and 9th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2014
國家/地區臺灣
城市Tainan
期間10/9/1410/12/14

ASJC Scopus subject areas

  • 生物醫學工程
  • 生物工程

指紋

深入研究「Computer-aided diagnosis of breast tumors using textures from intensity transformed sonographic images」主題。共同形成了獨特的指紋。

引用此