Abstract
At present, 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.
| Original language | English |
|---|---|
| Pages | 403-406 |
| Number of pages | 4 |
| Publication status | Published - 2004 |
| Event | SICE Annual Conference 2004 - Sapporo, Japan Duration: 2004 Aug 4 → 2004 Aug 6 |
Other
| Other | SICE Annual Conference 2004 |
|---|---|
| Country/Territory | Japan |
| City | Sapporo |
| Period | 04/8/4 → 04/8/6 |
Keywords
- Feature parameter
- Gastric tumor
- Image diagnosis
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering