DocumentCode
3239466
Title
Automated assessment of breast cancer lymphatic infiltration by H&E image
Author
Yung-Lung Kuo ; Chien-Chuan Ko ; Ming-Ji Lee
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Far East Univ., Tainan, Taiwan
fYear
2012
fDate
14-16 Aug. 2012
Firstpage
202
Lastpage
205
Abstract
The occurrence of invasive breast cancer and lymphatic infiltration is highly relative. Although medical screening and imaging technology has been considerable progress, there are still many patients with metastasis phenomenon of axillary lymph gland at the first inspection of breast cancer. In order to avoid breast cancer cells transferring by lymphatic system, physicians recommend breast cancer patients lymphadenectomy. However, it is estimated that about 70% in early breast cancer patients undergoing unnecessary lymphadenectomy. At present, lymphatic infiltration examination is performed via microscopes and concludes the results by physician experience and expertise. It is time consuming, labor intensive, and prone to inter-observer discrepancy. Therefore, in this article, we present a multistage model of automatic system of lymphatic infiltration assessment. And the experimental results not only prove the agreement of the lymphatic infiltration between the proposed scheme and expert pathologist but also confirmed that this system can greatly reduce the clinician´s burden.
Keywords
cancer; medical image processing; H&E image; automated assessment; axillary lymph gland; breast cancer lymphatic infiltration; imaging technology; interobserver discrepancy; invasive breast cancer; lymphatic infiltration; lymphatic system; medical screening; Accuracy; Breast cancer; Feature extraction; Glands; Image segmentation; breast cancer; lymphatic infiltration; scale-invariant feature transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Security and Intelligence Control (ISIC), 2012 International Conference on
Conference_Location
Yunlin
Print_ISBN
978-1-4673-2587-5
Type
conf
DOI
10.1109/ISIC.2012.6449741
Filename
6449741
Link To Document