AIMC Topic: Humans
Showing 64351 to 64360 of 95995 articles
A machine learning algorithm for high throughput identification of FTIR spectra: Application on microplastics collected in the Mediterranean Sea.
Chemosphere
Jun 6, 2019
The development of methods to automatically determine the chemical nature of microplastics by FTIR-ATR spectra is an important challenge. A machine learning method, named k-nearest neighbors classification, has been applied on spectra of microplastic...
Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique.
Oral surgery, oral medicine, oral pathology and oral radiology
Jun 6, 2019
OBJECTIVE: The aim of this study was to investigate whether a deep learning object detection technique can automatically detect and classify radiolucent lesions in the mandible on panoramic radiographs.
Computational modeling of interventions for developmental disorders.
Psychological review
Jun 6, 2019
We evaluate the potential of connectionist models of developmental disorders to offer insights into the efficacy of interventions. Based on a range of computational simulation results, we assess factors that influence the effectiveness of interventio...
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.
Computer methods and programs in biomedicine
Jun 6, 2019
BACKGROUND AND OBJECTIVE: Chest X-ray (CXR) is one of the most used imaging techniques for detection and diagnosis of pulmonary diseases. A critical component in any computer-aided system, for either detection or diagnosis in digital CXR, is the auto...
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow.
Medical image analysis
Jun 6, 2019
We propose a method to classify cardiac pathology based on a novel approach to extract image derived features to characterize the shape and motion of the heart. An original semi-supervised learning procedure, which makes efficient use of a large amou...
DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning.
Journal of neuroscience methods
Jun 6, 2019
BACKGROUND: A prerequisite for many eye tracking and video-oculography (VOG) methods is an accurate localization of the pupil. Several existing techniques face challenges in images with artifacts and under naturalistic low-light conditions, e.g. with...
A deep survival analysis method based on ranking.
Artificial intelligence in medicine
Jun 6, 2019
Survival analyses of populations and the establishment of prognoses for individual patients are important activities in the practice of medicine. Standard survival models, such as the Cox proportional hazards model, require extensive feature engineer...
A machine-learning approach for accurate detection of copy number variants from exome sequencing.
Genome research
Jun 6, 2019
Copy number variants (CNVs) are a major cause of several genetic disorders, making their detection an essential component of genetic analysis pipelines. Current methods for detecting CNVs from exome-sequencing data are limited by high false-positive ...
Machine learning for the prediction of sunscreen sun protection factor and protection grade of UVA.
Experimental dermatology
Jun 6, 2019
We report a prediction model for sunscreen sun protection factor (SPF) and protection grade of ultraviolet (UV) A (PA) based on machine learning. We illustrate with real clinical test results of UV protection ability of sunscreen for SPF and PA. With...
A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation.
Cell
Jun 6, 2019
Alternative polyadenylation (APA) is a major driver of transcriptome diversity in human cells. Here, we use deep learning to predict APA from DNA sequence alone. We trained our model (APARENT, APA REgression NeT) on isoform expression data from over ...
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