TY - GEN
T1 - Extraction method of glandular areas in prostate biopsy image
AU - Toki, Yoshiteru
AU - Tanaka, Toshiyuki
PY - 2011/1/1
Y1 - 2011/1/1
N2 - Number of prostate cancer patients is increasing. So system of supporting diagnosis is needed by pathologists. Biopsy images stained by HE staining, but the state depends on pathologist, individual condition, and environments. In this study, we try to robust image segmentation method to divide glandular into components. Our proposed method is to use fixed color range for background, Otsu method with Laplacian histosgram for nuclei, and not only color information but also texture features for interstitium and cytoplasm.
AB - Number of prostate cancer patients is increasing. So system of supporting diagnosis is needed by pathologists. Biopsy images stained by HE staining, but the state depends on pathologist, individual condition, and environments. In this study, we try to robust image segmentation method to divide glandular into components. Our proposed method is to use fixed color range for background, Otsu method with Laplacian histosgram for nuclei, and not only color information but also texture features for interstitium and cytoplasm.
KW - Image segmentation
KW - texture analysis
UR - http://www.scopus.com/inward/record.url?scp=81255129564&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=81255129564&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:81255129564
SN - 9784907764395
T3 - Proceedings of the SICE Annual Conference
SP - 1995
EP - 1998
BT - SICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts
PB - Society of Instrument and Control Engineers (SICE)
T2 - 50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
Y2 - 13 September 2011 through 18 September 2011
ER -
