Title :
Extraction method of glandular areas in prostate biopsy image
Author :
Toki, Yoshiteru ; Tanaka, Toshiyuki
Author_Institution :
Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
Abstract :
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.
Keywords :
cancer; feature extraction; image colour analysis; image segmentation; image texture; medical image processing; patient diagnosis; HE staining; Laplacian histosgram; Otsu method; color range; cytoplasm; diagnosis support; glandular areas extraction method; interstitium; pathologists; prostate biopsy image; prostate cancer patients; robust image segmentation; texture features; Biopsy; Colored noise; Feature extraction; Histograms; Image color analysis; Image edge detection; Laplace equations; Image segmentation; texture analysis;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8