What can an Image tell? : An Evaluation of the Retrieval Performance in ImBrowse

The aim of this master thesis is to evaluate the performance of the content-based image retrieval system ImBrowse from a semantic point of view. Evaluation of retrieval performance is a problem in content-based image retrieval (CBIR). There are many different methods for measuring the performance of content-based image retrieval systems, but no common way for performing the evaluation. The main focus is on image retrieval regarding the extraction of the visual features in the image, from three semantic levels. The thesis tries to elucidate the semantic gap, which is the problem when the systems extraction of the visual features from the image and the user’s interpretation of that same information do not correspond. The method of this thesis is based on similar methods in evaluation studies of CBIR systems. The thesis is an evaluation of ImBrowse’s feature descriptors for 30 topics at three semantic levels and compared the descriptors performance based on our relevance assessment. For the computation of the results the precision at DCV = 20 is used. The results are presented in tables and a chart. The conclusion from this evaluation is that the retrieval effectiveness from a general point of view did not meet the semantic level of our relevance assessed topics. However, since the thesis do not have another system with the same search functions to compare with it is difficult to draw a comprehensive conclusion of the results.Uppsatsnivå:

A classical brown adipose tissue mRNA signature partly overlaps with brite in the supraclavicular region of adult humans

SummaryHuman brown adipose tissue (BAT) has been detected in adults but was recently suggested to be of brite/beige origin. We collected BAT from the supraclavicular region in 21 patients undergoing surgery for suspected cancer in the neck area and assessed the gene expression of established murine markers for brown, brite/beige, and white adipocytes. We demonstrate that a classical brown expression signature, including upregulation of miR-206, miR-133b, LHX8, and ZIC1 and downregulation of HOXC8 and HOXC9, coexists with an upregulation of two newly established brite/beige markers, TBX1 and TMEM26. A similar mRNA expression profile was observed when comparing isolated human adipocytes from BAT and white adipose tissue (WAT) depots, differentiated in vitro. In conclusion, our data suggest that human BAT might consist of both classical brown and recruitable brite adipocytes, an observation important for future considerations on how to induce human BAT