Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
This work presents a framework driven by parcellation of brain gray matter in standard normalized space to classify the neuronal fibers obtained from diffusion tensor imaging (DTI)...
Yan Xia, And U. Turken, Susan L. Whitfield-Gabriel...
Bioinformatics applications are one of the most relevant and compute-demanding applications today. While normally these applications are executed on clusters or dedicated parallel ...
Maria Charalambous, Pedro Trancoso, Alexandros Sta...
Abstract. Automatic liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computeraided diagnosis (CAD) for liver CT. However, th...
Abstract. Image classification could be treated as an effective solution to enable keyword-based semantic image retrieval. In this paper, we propose a novel image classification...