scholarly journals Advanced Image Processing Algorithms for Breast Cancer Decision Support and Information Management System

2019 ◽  
pp. 147-156
Author(s):  
M. Inmaculada García ◽  
Karen López-Linares ◽  
Andrik Rampun ◽  
Bryan W. Scotney ◽  
Philip J. Morrow ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Image Processing ◽  
Decision Support ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Corneal Image Analysis and Information Management System Based on Slit Lamp

2014 ◽  
Vol 599-601 ◽  
pp. 1842-1847
Author(s):  
Min Xu ◽  
Ya Fen Li
Keyword(s):  
Image Processing ◽  
Information Management ◽  
Management System ◽  
Anterior Segment ◽  
Information Management System ◽  
Processing Technology ◽  
Medical Procedure ◽  
Slit Lamp ◽  
Image Processing Technology ◽  
Anterior Eye Segment

With the development of digital image processing technology and computer technology, the capturing and processing of anterior segment image by computer to acquire feature information is possible. This paper captures the anterior eye segment by slit lamp, and then uses image processing technology to preprocess, extract the edge and fit the edge of the captured image. At the same time the paper establishes the information management system based on SSH framework, which can register patient information, manage patient files and images, and finally realize the paperless medical procedure.

Performance Evaluation of Image Processing Algorithms in CADe

2005 ◽  
Vol 4 (2) ◽  
pp. 159-172 ◽  
Author(s):  
Michael A. Wirth
Keyword(s):  
Breast Cancer ◽  
Image Processing ◽  
Performance Evaluation ◽  
Cancer Screening ◽  
Ad Hoc ◽  
Evaluation Process ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Image Processing Algorithms ◽  
Processing Algorithms

One of the key limitations of existing image processing algorithms for computer-aided detection (CADe) is that they are often designed and evaluated in an ad hoc manner. This paper characterizes some of the issues and shortcomings in existing performance evaluation paradigms for image processing algorithms in breast cancer screening, particularly in the context of computer aided detection. We present the framework for establishing a performance evaluation process using standardized criteria. We conclude with some specific recommendations to improve the infrastructure for evaluation the performance of image processing algorithms.

Sign in / Sign up

Export Citation Format

Share Document