Image retrieval using document and establish the diagnosis and treatment of gastric cancer case based reasoning

Image retrieval using document and establish the diagnosis and treatment of gastric cancer case based

reasoning

Building a Model of Case-Based Reasoning for Diagnosis and Treatment of Gastric Carcinoma using Documents Mining and Image Retrieval Zhan Huang Qian

detached

Sun Lei Ming Yang Liu

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Taipei Medical University,

Institute of Medical Informatics, Taipei Medical University Hospital Summary

With the rapid development of information technology, information technology has become the medical care and a key tool in

biomedical research. Therefore, the use of digital medical

information to help clinicians to solve the problem of patients is an important issue.

Case based reasoning (Case-Based Reasoning, CBR) is a by previous experience to solve problems encountered. This is just as human beings to solve problems, they tend to imitate their predecessors is very similar, and can be quite extensive areas of application. The advantage is to not spend too much effort to do complex rule-based reasoning (Rule-Based Reasoning, RBR), which can produce results quickly. In the current CBR systems, most have only carried out for some documents. However, in the medical field, the image data has to offer, far more than any other area of expertise, subject the documents and image data can be combined into one, then the effect on the overall diagnosis would be more helpful. This essay is intended to use file retrieval combination of image retrieval, to enhance the capacity of case-based reasoning system, and actually used in the diagnosis of gastric cancer.

Keywords: case-based reasoning, document retrieval, image

retrieval, gastric cancer