Based Image Retrieval For Histology Image Collection Using Visual Pattern Mining
U. Ravindran, T. Shakila · 2013
CBIR is trending to an enormous growth in the field of Artificial intelligence based on visual pattern mining in histology images extends the boundaries of CBIR in Genetic Research. This method starts by representing the visual content of the collection using a bag- of-feature strategy. Then, two main visual mining tasks are performed: finding associations between visual-patterns and high-level concepts, and performing automatic image annotation. Associations are found using minimum-redundancy-maximum-relevance feature selection and co-clustering analysis. Additionally includes an interpretation mechanism that associates concept annotations with corresponding image. A neural network as an classifier, It can improve the classification accuracy more than 80%.