TY - GEN
T1 - Detection of lobular carcinoma in situ(LCIS) by image analysis
AU - Kim, Sujin
AU - Kim, Desok
AU - Choi, Hyun Joo
AU - Joo, Hee Jae
PY - 2011
Y1 - 2011
N2 - In this study, we aimed to develop a quantitative image analysis method that may enhance the detection of the lobular carcinoma in-situ (LCIS) in breast cancer specimens. Glandular areas were segmented by using mathematical morphology from 5X histologic images of breast cancer cases (n=213). Computational features such as shape, intensity, and texture were extracted from glandular areas. Segmented glandular areas of LCIS were significantly larger, thicker, lower and less variant in intensity, compared to normal areas (Mann-Whitney test, p<0.01). Our models based on data mining algorithms detected LCIS frames at the accuracy rate close to 99%. Our proposed methods may be well incorporated into a further development of computer aided detection (CAD) software for the screening of whole slide images to locate the LCIS areas.
AB - In this study, we aimed to develop a quantitative image analysis method that may enhance the detection of the lobular carcinoma in-situ (LCIS) in breast cancer specimens. Glandular areas were segmented by using mathematical morphology from 5X histologic images of breast cancer cases (n=213). Computational features such as shape, intensity, and texture were extracted from glandular areas. Segmented glandular areas of LCIS were significantly larger, thicker, lower and less variant in intensity, compared to normal areas (Mann-Whitney test, p<0.01). Our models based on data mining algorithms detected LCIS frames at the accuracy rate close to 99%. Our proposed methods may be well incorporated into a further development of computer aided detection (CAD) software for the screening of whole slide images to locate the LCIS areas.
KW - Breast Cancer
KW - Computer Aided Detection
KW - Image Analysis
KW - Lobular Carcinoma In-situ (LCIS)
KW - Pattern Recognition
KW - Whole Slide Images
UR - http://www.scopus.com/inward/record.url?scp=84862940963&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862940963&partnerID=8YFLogxK
U2 - 10.1109/BIBMW.2011.6112440
DO - 10.1109/BIBMW.2011.6112440
M3 - Conference contribution
AN - SCOPUS:84862940963
SN - 9781457716133
T3 - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
SP - 623
EP - 624
BT - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
T2 - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Y2 - 12 November 2011 through 15 November 2011
ER -