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In past times, a task of similar pictures searching was not based on searching for similar content (e.g. shapes, colour) of the pictures but on the picture name. There exist some methods for the same purpose, but there is still some space for development of more efficient methods. The proposed image retrieval system is used for finding similar images, in our case in the medical area \u2013 in mammography, in addition to the creation of the list of similar images \u2013 cases. The created list is used for assessing the nature of the finding \u2013 whether the medical finding is malignant or benign. The suggested method is compared to the method using Normalized Compression Distance (NCD) instead of fuzzy signatures and fuzzy S-tree. The method with NCD is useful for the creation of the list of similar cases for malignancy assessment, but it is not able to capture the area of interest in the image. The proposed method is going to be added to the complex decision support system to help to determine appropriate healthcare according to the experiences of similar, previous cases.<\/jats:p>","DOI":"10.1007\/s10916-016-0659-2","type":"journal-article","created":{"date-parts":[[2016,12,15]],"date-time":"2016-12-15T13:12:46Z","timestamp":1481807566000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree"],"prefix":"10.1007","volume":"41","author":[{"given":"Jana","family":"Nowakov\u00e1","sequence":"first","affiliation":[]},{"given":"Michal","family":"Pr\u00edlepok","sequence":"additional","affiliation":[]},{"given":"V\u00e1clav","family":"Sn\u00e1\u0161el","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,15]]},"reference":[{"key":"659_CR1","unstructured":"Arya, S., and Mount, D.M.: Algorithms for fast vector quantization. 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