| Autor: |
N T Renukadevi |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET). |
| DOI: |
10.1109/icammaet.2017.8186743 |
| Popis: |
The role of medical imaging in today's system of health care is very prominent and its wide usage as now created databases of images called PACS or Picture Archiving and Communication Systems. Large storage facilities for computers are employed by departments of medical imaging though the PACS method. Images from different modalities like multidimensional and also 2D images as well as multimodality images are now stored. These images can result in more efficient diagnosis, and also better teaching and research. This necessitates the right method to be employed for searching images having the same traits to their region of interest. CBIR or Content-based image retrieval can be taken as a technique for retrieving images which enables a balance between the conventional methods of text based retrieval that uses visual features like colour, shape, texture etc. Medical CBIR is now a field of study that has established itself and has proved to be true when it is applied to multimodality as well as multidimensional medical data. An image retrieval system that is based on content and further on Hadoop, which is a projected solution for big image database that provides safe and effective search methods and also retrieves those images that are similar to the Query image of the database. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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