In this paper, we propose a novel scheme for efficient content-based medical image retrieval, formalized according to the PAtterns for Next generation DAtabase systems (PANDA) framework for pattern representation and management. The proposed scheme involves block-based low-level feature extraction from images followed by the clustering of the feature space to form higher-level, semantically meaningful patterns. The clustering of the feature space is realized by an expectation-maximization algorithm that uses an iterative approach to automatically determine the number of clusters. Then, the 2-component property of PANDA is exploited: thesimilarity between two clusters is estimated as a function of the similarity of both their structures and the measure components. Experiments were performed on a large set of reference radiographic images, using different kinds of features to encode the low-level image content. Through this experimentation, it is shown that the proposed scheme can be efficiently and effectively applied for medical image retrieval from large databases, providing unsupervised semantic interpretation of the results, which can be further extended by knowledge representation methodologies.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Compressive Color Pattern Detection Using Partial Orthogonal Circulant Sensing Matrix ABSTRACT: To get acceptable signal reconstruction quality with compressive sensing, it's important to create a sensing matrix
MTechProjects.com offering final year Java Based Pattern Analysis MTech Projects, Pattern Analysis IEEE Projects, IEEE Pattern Analysis Projects, Pattern Analysis MS Projects, Java Based Pattern Analysis BTech Projects, Pattern
PROJECT TITLE :An Enhanced Visualization Method to Aid Behavioral Trajectory Pattern Recognition Infrastructure for Big Longitudinal Data - 2018ABSTRACT:Big longitudinal knowledge offer a lot of reliable data for call creating
PROJECT TITLE :Beyond Empirical Models: Pattern Formation Driven Placement of UAV Base Stations - 2018ABSTRACT:This Project considers the location of unmanned aerial vehicle base stations (UAV-BSs) with criterion of minimum UAV-recall-frequency
PROJECT TITLE :MCS-GPM: Multi-Constrained Simulation Based Graph Pattern Matching in Contextual Social Graphs - 2018ABSTRACT:Graph Pattern Matching (GPM) has been employed in heaps of areas, like biology, medical science, and

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry