Development of Histopathological Breast Tumor Image Retrieval System Based on Internet Using a Content-based Retrieval Method.
- Author:
Min Kyoung KIM
1
;
Mi Jung JO
;
Hye Jin JEONG
;
Hae Gil HWANG
;
Hyun Ju CHOI
;
Heung Kook CHOI
Author Information
1. Department of Medical Imaging Science, Graduate School, Inje University, Korea.
- Publication Type:Original Article
- Keywords:
Breast Tumor Image;
CBIR(Content-Based Image Retrieval) System;
GLCM;
Texture Feature;
Wavelet Transform
- MeSH:
Breast Neoplasms*;
Breast*;
Carcinoma, Ductal;
Carcinoma, Intraductal, Noninfiltrating;
Diagnosis;
Internet*;
Pathology;
Wavelet Analysis
- From:Journal of Korean Society of Medical Informatics
2005;11(1):87-96
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVE: We have developed breast tumor image retrieval system using content-based retrieval method. It compares the breast tumor image with Fibrocystic Change images, Ductal Carcinoma in Situ images and Invasive Ductal Carcinoma images and find most similar one. Since the final diagnosis for breast tumor image is done only by pathologist manually, this system can provide the objectivity and the reproducibility for determining and diagnosing the breast tumor. METHODS: The breast tumor image features used in the content-based image retrieval are color feature, texture feature and texture features of wavelet transformed images. And the system can be accessed through the internet. We used Windows 2003 as an operating system, Internet Information Server 6.0 as Web a server and ms-sql server 2000 as a database server. Also we use ActiveX Data Object to connect database easily. RESULT: We evaluated the recall and precision performance of the system according to the combinations of feature types and usage of partial or whole image. Results showed that the use of multiple features and whole image gave consistently higher rates compared to the use of single feature and partial image. CONCLUSION: This retrieval system can help pathologist determine the type of breast tumor more efficiently. Also it is working based on the internet, we can use it for researching and teaching in pathology later.
