نتایج جستجو برای: image retrieval in medical application

تعداد نتایج: 17266090  

Journal: :International Journal of Innovative Research in Applied Sciences and Engineering 2018

Journal: :DEStech Transactions on Social Science, Education and Human Science 2018

ژورنال: مدیریت سلامت 2012

    Introduction : One of the recommended ways in organizing the information in the websites is the application of Meta Tags. The application of a variety of Meta Tags can affect the precision rate of search engines retrieval. They can also promote the rank of a website. The purpose of the study was to investigate the structure of libraries websites based on Meta Tags in medical science univers...

Journal: :Indian Journal of Science and Technology 2016

Journal: :International journal of electrical & electronics research 2022

Content-based image retrieval (CBIR) is a method for searching that finds related images in medical database. Furthermore, clinical adaptation of CBIR hampered part by contextual gap the disparity among person characterization picture and framework image. This technique makes it tough user to validate fetched are similar query addition only fetches top-ranked ignores low-ranking ones. Visual An...

Journal: :International Journal of Computers Communications & Control 2015

2006
PEI-CHENG CHENG BEEN-CHIAN CHIEN WEI-PANG YANG

In this paper we design a medical image retrieval system that conations variety of type images for clinical student to learning or patient to understand his health condition. The image contains variety of type image, thus we consider global and local image features expect to describe variety of type images. We proposed a relative vector method for medical image content retrieval. The similarity...

2013
Ivan Kitanovski Ivica Dimitrovski Suzana Loskovska

This paper presents the details of the participation of FCSE (Faculty of Computer Science and Engineering) research team in ImageCLEF 2013 medical tasks (modality classification, ad-hoc image retrieval and case-based retrieval). For the modality classification task we used SIFT descriptors and tf − idf weights of the surrounding text (image caption and paper title) as features. SVMs with χ kern...

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