A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval

Numerical experiments using radiographic images illustrate the superior performance of EM method in term of segmentation accuracy compared to fuzzy c-means algorithm. Key words—

In fact, the best solution found by the GA, here called H-GA, uses only 31% of the dimensions from the canonical version of the descriptor and still achieves a similar performance.

Multimodal Retrieval Only two participants actually submitted a mixed case–based result, and the performance of these runs is fairly low highlight- ing the difficulty in combining

It is clear that, for a large number of the runs, the MAP results for the mixed retrieval submissions were very similar to those from the purely textual retrieval systems..

To generate the feature vectors at different levels of abstraction, we extract both visual concept- based feature based on a “bag of concepts” model comprising color and texture

Moreover, the approach autonomously selects the best combination of image descriptions and clustering approach for each query individually and, thus, it is fully adaptive for

Hadoop framework is used to store images and their features in column-oriented database HBase, and utilizes MapReduce computing model to im- prove the performance of image

In order to do so, compare the free energy of a perfectly ordered system with the free energy of a partially disordered case that introduces the less energetic frustrations