AIMC Topic:
Databases, Factual

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A salient region detection model combining background distribution measure for indoor robots.

PloS one Jul 24, 2017
Vision system plays an important role in the field of indoor robot. Saliency detection methods, capturing regions that are perceived as important, are used to improve the performance of visual perception system. Most of state-of-the-art methods for s...
Equipment Design Humans Pattern Recognition, Automated Artificial Intelligence Visual Perception Databases, Factual Models, Statistical Robotics Color
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Localized prostate cancer and robot-assisted laparoscopic radical prostatectomy: a retrospective, comparative study between pre- and post-operative Gleason scores.

Acta chirurgica Belgica Jul 18, 2017
INTRODUCTION: To compare the pre- and post-operative Gleason scores (GS) in patients with localized prostate cancer treated with robot-assisted laparoscopic radical prostatectomy.
Biopsy, Needle Preoperative Care Analysis of Variance Belgium Prostatectomy Prostatic Neoplasms Neoplasm Grading Laparoscopy Survival Analysis Chi-Square Distribution Humans Immunohistochemistry Retrospective Studies Cohort Studies Aged Postoperative Care Databases, Factual Robotics Prognosis Male Middle Aged Risk Assessment
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Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites.

Scientific reports Jul 18, 2017
Matrix Metalloproteases (MMPs) are an important family of proteases that play crucial roles in key cellular and disease processes. Therefore, MMPs constitute important targets for drug design, development and delivery. Advanced proteomic technologies...
Algorithms Substrate Specificity Isoenzymes Databases, Factual Support Vector Machine Reproducibility of Results Amino Acid Sequence Computational Biology Matrix Metalloproteinases
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Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition.

BioMed research international Jul 17, 2017
Accurate classification of hepatocellular carcinoma (HCC) image is of great importance in pathology diagnosis and treatment. This paper proposes a concave-convex variation (CCV) method to optimize three classifiers (random forest, support vector mach...
Carcinoma, Hepatocellular Humans Databases, Factual Image Processing, Computer-Assisted Liver Neoplasms Support Vector Machine
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Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

PloS one Jul 14, 2017
Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proacti...
ROC Curve Area Under Curve Patient Readmission Adolescent Humans Child, Preschool Middle Aged Child Neural Networks, Computer Databases, Factual Infant Aged Electronic Health Records Young Adult Length of Stay Aged, 80 and over Infant, Newborn Adult Risk Factors
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Constrained Deep Weak Supervision for Histopathology Image Segmentation.

IEEE transactions on medical imaging Jul 7, 2017
In this paper, we develop a new weakly supervised learning algorithm to learn to segment cancerous regions in histopathology images. This paper is under a multiple instance learning (MIL) framework with a new formulation, deep weak supervision (DWS);...
Humans Colon Image Processing, Computer-Assisted Colonic Neoplasms Supervised Machine Learning Neural Networks, Computer Algorithms Databases, Factual Histocytochemistry Tissue Array Analysis
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Fuzzy Evidential Network and Its Application as Medical Prognosis and Diagnosis Models.

Journal of biomedical informatics Jul 6, 2017
Uncertainty is one of the important facts of the medical knowledge. Medical prognosis and diagnosis, as the essential parts of medical knowledge, is affected by different aspects of uncertainty, which must be managed. In the previous studies, differe...
Bayes Theorem Databases, Factual Prognosis Fuzzy Logic Humans Algorithms
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Classification and analysis of a large collection of in vivo bioassay descriptions.

PLoS computational biology Jul 5, 2017
Testing potential drug treatments in animal disease models is a decisive step of all preclinical drug discovery programs. Yet, despite the importance of such experiments for translational medicine, there have been relatively few efforts to comprehens...
Machine Learning Databases, Factual Drug Evaluation, Preclinical Biological Assay Data Mining High-Throughput Screening Assays Reproducibility of Results Sensitivity and Specificity Natural Language Processing
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Learning from Ambiguously Labeled Face Images.

IEEE transactions on pattern analysis and machine intelligence Jul 4, 2017
Learning a classifier from ambiguously labeled face images is challenging since training images are not always explicitly-labeled. For instance, face images of two persons in a news photo are not explicitly labeled by their names in the caption. We p...
Image Processing, Computer-Assisted Face Pattern Recognition, Automated Biometric Identification Machine Learning Algorithms Databases, Factual Humans
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Ontological interpretation of biomedical database content.

Journal of biomedical semantics Jun 26, 2017
BACKGROUND: Biological databases store data about laboratory experiments, together with semantic annotations, in order to support data aggregation and retrieval. The exact meaning of such annotations in the context of a database record is often ambig...
Databases, Factual Biological Ontologies
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