Title :
Study on diagnosis of gastric tumors using feature parameter
Author :
Uchino, Yoshitaka ; Tanaka, Toshiyuki ; Oka, Teruaki
Author_Institution :
Dept. of Appl. Phys. & Physico-Informatics, Keio Univ., Yokohama, Japan
Abstract :
Pathologists diagnose gastric tumor subjectively by atypism, pleomorphism and so on. Therefore the diagnosis are different by each of pathologists. In this paper, we propose a method to find differences among benign and malignant tumors, and gastric adenoma for the purpose of helping pathologists diagnose gastric tumors objectively. We extract nucleus and cytoplasm region from tissue images, and calculate feature parameters of them by image processing. By evaluating distribution of feature parameters from discriminant analysis, we find out the objective feature parameters for diagnosis.
Keywords :
feature extraction; image segmentation; medical image processing; tumours; benign tumor; cytoplasm extraction; discriminant analysis; feature parameter; gastric adenoma; gastric tumor diagnosis; image thresholding; malignant tumor; nucleus extraction; pathologists; tissue image processing;
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7