New Morphological Features for Grading Pancreatic Ductal Adenocarcinomas

Title
New Morphological Features for Grading Pancreatic Ductal Adenocarcinomas
Authors
이주홍
Issue Date
2013
Publisher
JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY
Series/Report no.
JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY ; Vol2013 Article ID 175271 Startpage 1 Endpage 25
Abstract
Pathological diagnosis is influenced by subjective factors such as the individual experience and knowledge of doctors. Therefore, it may be interpreted in different ways for the same symptoms. The appearance of digital pathology has created good foundation for objective diagnoses based on quantitative feature analysis. Recently, numerous studies are being done to develop automated diagnosis based on the digital pathology. But there are as of yet no general automated methods for pathological diagnosis due to its specific nature.Therefore, specific methods according to a type of disease and a lesion could be designed.This study proposes quantitative features that are designed to diagnose pancreatic ductal adenocarcinomas. In the diagnosis of pancreatic ductal adenocarcinomas, the region of interest is a duct that consists of lumen and epithelium. Therefore,we first segment the lumen and epithelial nuclei from a tissue image.Then, we extract the specific features to diagnose the pancreatic ductal adenocarcinoma fromthe segmented objects. The experiment evaluated the classification performance of the SVM learned by the proposed features. The results showed an accuracy of 94.38% in the experiment distinguishing between pancreatic ductal adenocarcinomas and normal tissue and a classification accuracy of 77.03% distinguishing between the stages of pancreatic ductal adenocarcinomas.
URI
http://dx.doi.org/10.1155/2013/175271
http://dspace.inha.ac.kr/handle/10505/33501
ISSN
1110-7243
Appears in Collections:
College of Engineering(공과대학) > Computer Engineering (컴퓨터공학) > Journal Papers, Reports(컴퓨터정보공학 논문, 보고서)
Files in This Item:
35638.pdfDownload

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse