AIMC Topic:
Databases, Factual

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Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features.

Physics in medicine and biology Sep 4, 2019
To predict lung nodule malignancy with a high sensitivity and specificity for low dose CT (LDCT) lung cancer screening, we propose a fusion algorithm that combines handcrafted features (HF) into the features learned at the output layer of a 3D deep c...
Humans Databases, Factual Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Early Detection of Cancer Signal-To-Noise Ratio
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Multioutput Perturbation-Theory Machine Learning (PTML) Model of ChEMBL Data for Antiretroviral Compounds.

Molecular pharmaceutics Aug 30, 2019
Retroviral infections, such as HIV, are, until now, diseases with no cure. Medicine and pharmaceutical chemistry need and consider it a huge goal to define target proteins of new antiretroviral compounds. ChEMBL manages Big Data features with a compl...
Neural Networks, Computer Machine Learning Databases, Factual Computer Simulation Models, Theoretical Data Mining Anti-Retroviral Agents Chemistry, Pharmaceutical Humans
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Deep Learning to Improve Breast Cancer Detection on Screening Mammography.

Scientific reports Aug 29, 2019
The rapid development of deep learning, a family of machine learning techniques, has spurred much interest in its application to medical imaging problems. Here, we develop a deep learning algorithm that can accurately detect breast cancer on screenin...
Early Detection of Cancer Mammography Diagnosis, Computer-Assisted Deep Learning Databases, Factual Humans Female Algorithms Breast Neoplasms
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OrgaQuant: Human Intestinal Organoid Localization and Quantification Using Deep Convolutional Neural Networks.

Scientific reports Aug 28, 2019
Organoid cultures are proving to be powerful in vitro models that closely mimic the cellular constituents of their native tissue. Organoids are typically expanded and cultured in a 3D environment using either naturally derived or synthetic extracellu...
Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted Intestines Cell Culture Techniques Organoids Humans
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Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder.

BioMed research international Aug 27, 2019
Computational drug repositioning, designed to identify new indications for existing drugs, significantly reduced the cost and time involved in drug development. Prediction of drug-disease associations is promising for drug repositioning. Recent years...
Drug Repositioning Databases, Factual Humans Alzheimer Disease Computer Simulation Computational Biology Machine Learning
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A new and effective method for human retina optic disc segmentation with fuzzy clustering method based on active contour model.

Medical & biological engineering & computing Aug 24, 2019
In this paper, a new approach is proposed for localization and segmentation of the optic disc in human retina images. This new approach can find the boundary of the optic disc by an initial fuzzy clustering means algorithm. The proposed approach uses...
Cluster Analysis Optic Disk Databases, Factual Image Processing, Computer-Assisted Humans Fuzzy Logic Algorithms
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Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

International journal of medical informatics Aug 24, 2019
INTRODUCTION: Machine learning has been increasingly used to develop predictive models to diagnose different disease conditions. The heterogeneity of the kidney transplant population makes predicting graft outcomes extremely challenging. Several kidn...
Decision Trees Predictive Value of Tests Humans Kidney Transplantation Bayes Theorem Graft Rejection Neural Networks, Computer Databases, Factual Machine Learning
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Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.

Endoscopy Aug 23, 2019
BACKGROUND: Visual inspection, lesion detection, and differentiation between malignant and benign features are key aspects of an endoscopist's role. The use of machine learning for the recognition and differentiation of images has been increasingly a...
Early Detection of Cancer Diagnosis, Differential Neoplasm Staging Deep Learning Humans Neoplasm Grading ROC Curve Image Processing, Computer-Assisted Neural Networks, Computer Databases, Factual Reproducibility of Results Stomach Neoplasms Endoscopy
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A Natural-language-based Visual Query Approach of Uncertain Human Trajectories.

IEEE transactions on visualization and computer graphics Aug 20, 2019
Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate ge...
User-Computer Interface Natural Language Processing Semantics Algorithms Databases, Factual Movement Computer Graphics Uncertainty Humans
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The What-If Tool: Interactive Probing of Machine Learning Models.

IEEE transactions on visualization and computer graphics Aug 20, 2019
A key challenge in developing and deploying Machine Learning (ML) systems is understanding their performance across a wide range of inputs. To address this challenge, we created the What-If Tool, an open-source application that allows practitioners t...
Humans Machine Learning Software User-Computer Interface Databases, Factual Computer Graphics Computer Simulation
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