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Health management systems (HMS) have turned health management center into a network with huge storage so that health records, from different kinds of systems in hospital, can be shared. Based on this, variety of information about patients from different function modules can be inquired for further research. However, there is a lot of potential information which may be useful but still remain in original...
In this paper, authors study using SIFT feature for medical image retrieval. Under bag-of-words framework, this paper study different methods forming visual words from local SIFT feature, and show good choice for medical image retrieval, in different condition. Through experimentation on different body parts, rotation and scale, the methods show different performance, thus provide reasonable choice...
In this paper, authors propose a new two-step medical image retrieval method which combines co-occurrence matrix texture feature and gradient phase mutual information (GP_MI). The new method provides fast retrieval respond speed while achieves high precision and good robustness in retrieval process. Experimental results show that the algorithm has potential practical values for clinical routine application.
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