The dramatic increase in data in the area of cancer research has elevated the importance of effectively managing the quality and consistency of research results from multiple prov...
Andrew F. Hart, Chris Mattmann, John J. Tran, Dani...
In this work we present a possible next generation Remote patient management (RPM) system that enables personalization of educational content and its delivery to patients and intr...
Aleksandra Tesanovic, Goran Manev, Mykola Pecheniz...
Assessment of the (Multi) Similarity among a set of protein structures is achieved through an ensemble of protein structure comparison methods/algorithms. This leads to the genera...
Gianluigi Folino, Azhar Ali Shah, Natalio Krasnogo...
Discussion on patient data, among hospital staff, plays an increasingly important role in inter-specialist communication. Effectiveness of a discussion depends, among other factor...
Given the heterogeneity of healthcare software systems, data from each system is often incompatible inhibiting interoperability. To enable the sharing and exchange of healthcare i...
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
Biomedical scientists generate, access, validate and interpret multiple distributed and heterogeneous data sets. Semantic annotations for these data sets are paramount for exchang...
Early detection of Ground Glass Nodule (GGN) in lung Computed Tomography (CT) images is important for lung cancer prognosis. Due to its indistinct boundaries, manual detection and ...
Yimo Tao, Le Lu, Maneesh Dewan, Albert Y. Chen, Ja...