Chest Card Recognition System Design

2011 ◽  
Vol 267 ◽  
pp. 56-59
Author(s):  
Li Juan Ma ◽  
Yun Juan Liang ◽  
Shi Yong Li ◽  
Yong Huang
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
System Design ◽  
Computer Image ◽  
Management System ◽  
Recognition System ◽  
Processing Technology ◽  
Computer Image Analysis ◽  
Image Processing Technology ◽  
Key Steps

Chest Card recognition system is to use computer image analysis, extract effective chest card information, used to judge the chest card information, it has wide application: the chest card recognition in and out management system, the chest card recognition disucssed system, employee management, etc. This paper mainly based on image processing technology, introduces the design of the chest card recognition system, focusing on the introduction of the two key steps: the realization of chest card positioning and chest card recognition.

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.

scholarly journals Intelligent Segmentation and Recognition Method of Breast Cancer Based on Digital Image Processing Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiaochen Tang ◽  
Yunbo An ◽  
Congshan Li
Keyword(s):  
Breast Cancer ◽  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Medical Image ◽  
Intelligent System ◽  
Recognition System ◽  
Processing Technology ◽  
Image Processing Technology ◽  
Pathological Image

With the development of digital image technology, judging diseases by medical image plays an important role in medical diagnosis. Mammography is the most effective imaging examination method for breast cancer at present. Intelligent segmentation and identification of breast cancer images and judging their size and classification by digital image processing technology can promote the development of clinical medicine. This paper introduces the preprocessing technology of breast cancer pathological image and medical image recognition technology of breast cancer. In order to improve the segmentation accuracy of image processing and optimize, the segmentation recognition ability in digital mammography was improved. Based on the technical basis of pathological image analysis of breast cancer, the architecture of intelligent segmentation and recognition system for breast cancer was constructed, and each functional module of intelligent system was introduced in detail. Based on digital image processing technology, filtering technology is used to reduce dryness and improve the clarity of the image. Public datasets INBreast and DDSM-BCRP were used to verify system’s performance, and it was tested on the breast cancer image test set. The experiment shows that the comprehensive performance of the intelligent segmentation and recognition system can realize the segmentation and recognition of breast cancer and has higher accuracy and interpretability, which is helpful to improve the diagnosis of doctors.

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