Complex relationships in biomedical publications are often communicated by diagrams such as bar and line charts, which are a very effective way of summarizing and communicating multi-faceted data sets. Given the ever-increasing amount of published data, we argue that the precise retrieval of such diagrams is of great value for answering specific and otherwise hard-to-meet information needs. To ...

Three-dimensional computerized characterization of biomedical solid textures is key to large-scale and high-throughput screening of imaging data. Such data increasingly become available in the clinical and research environments with an ever increasing spatial resolution. In this text we exhaustively analyze the state-of-the-art in 3-D biomedical texture analysis to identify the specific needs o...

anomaly detection (ad) has recently become an important application of hyperspectral images analysis. the goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. one way to improve the performance and runtime of these algorithms is to use dimensionality reduction (dr) techniques. this paper evaluates the effect of thr...

Biomedical image processing acts as an essential part of several medical applications in supporting computer aided disease diagnosis. Magnetic Resonance Image (MRI) is a commonly utilized imaging tool used to save glioma for clinical examination. segmentation plays vital role healthcare decision making process which also helps identify the affected regions MRI. Though numerous models are availa...

Biomedical images are helpful sources for the scientists and practitioners in drawing significant hypotheses, exemplifying approaches and describing experimental results in published biomedical literature. In last decades, there has been an enormous increase in the amount of heterogeneous biomedical image production and publication, which results in a need for bioimaging platforms for feature e...

Image analysis, de-noising, segmentation, feature extraction and classification form very important research topics of image processing. The paper is devoted to the rotation and translation invariant image transforms analysis and their use for image enhancement and features extraction. A special attention is paid to the two-dimensional Radon and wavelet transforms forming fundamental mathematic...

in this research, first of all, the existing problems in fragmentation measurement are reviewed for the sake of its fast and reliable evaluation. then, the available methods used for evaluation of blast results are mentioned. the produced errors especially in recognizing the rock fragments in computer-aided methods, and also, the importance of determination of their sizes in the image analysis ...

Independent component analysis for assessing tissue at risk of infarction in acute ischemic stroke Venkata Veerendranadh Chebrolu, Ashish Rao, Dattesh D Shanbhag, Sandeep N Gupta, Uday Patil, Patrice Hervo, Catherine Oppenheim, and Rakesh Mullick Medical Image Analysis Lab, GE Global Research, Bangalore, Karnataka, India, Bio-Medical Signal Analysis Lab, GE Global Research, Bangalore, Karnataka...