AIMC Topic: Deep Learning

Clear Filters Showing 28191 to 28200 of 28423 articles

Extraction of chemical-protein interactions from the literature using neural networks and narrow instance representation.

Database : the journal of biological databases and curation Jan 1, 2019
The scientific literature contains large amounts of information on genes, proteins, chemicals and their interactions. Extraction and integration of this information in curated knowledge bases help researchers support their experimental results, leadi...
Databases, Bibliographic Proteins Deep Learning Data Mining Protein Interaction Maps
View on PubMed DOI

DeepScreening: a deep learning-based screening web server for accelerating drug discovery.

Database : the journal of biological databases and curation Jan 1, 2019
Deep learning contributes significantly to researches in biological sciences and drug discovery. Previous studies suggested that deep learning techniques have shown superior performance to other machine learning algorithms in virtual screening, which...
Drug Evaluation, Preclinical Humans Databases, Chemical Drug Discovery Deep Learning Internet
View on PubMed DOI

Brain AI: Deep Learning for Brain Stimulation.

IEEE pulse Jan 1, 2019
Notice to readersThis article is available in both Japanese and Spanish languages on the IEEE Pulse website: https://pulse.embs.org.
Deep Learning Signal Processing, Computer-Assisted Humans Deep Brain Stimulation Brain
View on PubMed DOI

Application of a long short-term memory neural network: a burgeoning method of deep learning in forecasting HIV incidence in Guangxi, China.

Epidemiology and infection Jan 1, 2019
Guangxi, a province in southwestern China, has the second highest reported number of HIV/AIDS cases in China. This study aimed to develop an accurate and effective model to describe the tendency of HIV and to predict its incidence in Guangxi. HIV inc...
Humans Forecasting Deep Learning Incidence China Epidemiologic Methods HIV Infections
View on PubMed DOI

An Olfactory Sensor Array for Predicting Chemical Odor Characteristics from Mass Spectra with Deep Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
Machine learning techniques are useful for applications such as electronic nose (e-nose) systems to classify or identify the target odor. In recent years, deep learning is regarded as one of the most powerful machine learning methods. It enables rese...
Smell Electronic Nose Deep Learning Models, Chemical Odorants
View on PubMed DOI

New one-step model of breast tumor locating based on deep learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Breast cancer has the highest cancer prevalence rate among the women worldwide. Early detection of breast cancer is crucial for successful treatment and reducing cancer mortality rate. However, tumor detection of breast ultrasound (US) im...
Neural Networks, Computer Algorithms Breast Neoplasms Deep Learning Female Humans Radiographic Image Interpretation, Computer-Assisted Ultrasonography, Mammary Image Processing, Computer-Assisted Breast Mammography
View on PubMed DOI

Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Deep Learning ROC Curve Humans Databases, Factual Reproducibility of Results Lung Tomography, X-Ray Computed
View on PubMed DOI

A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.

Technology in cancer research & treatment Jan 1, 2019
PURPOSE: In prostate focal therapy, it is important to accurately localize malignant lesions in order to increase biological effect of the tumor region while achieving a reduction in dose to noncancerous tissue. In this work, we proposed a transfer l...
ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Deep Learning Image Interpretation, Computer-Assisted Area Under Curve Prostatic Neoplasms Humans Algorithms Reproducibility of Results Neural Networks, Computer
View on PubMed DOI

Multi-material decomposition of spectral CT images via Fully Convolutional DenseNets.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Spectral computed tomography (CT) has the capability to resolve the energy levels of incident photons, which has the potential to distinguish different material compositions. Although material decomposition methods based on x-ray attenuat...
Tomography, X-Ray Computed Animals Photons Mice Radiography, Dual-Energy Scanned Projection Calibration Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Recognition of Lung Adenocarcinoma-specific Gene Pairs Based on Genetic Algorithm and Establishment of a Deep Learning Prediction Model.

Combinatorial chemistry & high throughput screening Jan 1, 2019
AIM AND OBJECTIVE: Lung cancer is a disease with a dismal prognosis and is the major cause of cancer deaths in many countries. Nonetheless, rapid technological developments in genome science guarantees more effective prevention and treatment strategi...
Cluster Analysis Models, Biological Adenocarcinoma of Lung Deep Learning Lung Neoplasms Algorithms Gene Expression Profiling Humans
View on PubMed DOI
Popular Topics
Recent Journals