AIMC Topic: Deep Learning

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EDeepSSP: Explainable deep neural networks for exact splice sites prediction.

Journal of bioinformatics and computational biology Jul 22, 2020
Splice site prediction is crucial for understanding underlying gene regulation, gene function for better genome annotation. Many computational methods exist for recognizing the splice sites. Although most of the methods achieve a competent performanc...
Animals Deep Learning ROC Curve Humans Neural Networks, Computer RNA Splice Sites Arabidopsis Data Visualization Computational Biology Databases, Genetic Drosophila melanogaster
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DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning.

Cells Jul 22, 2020
N4-methylcytosine as one kind of modification of DNA has a critical role which alters genetic performance such as protein interactions, conformation, stability in DNA as well as the regulation of gene expression same cell developmental and genomic im...
Models, Statistical Cytosine Base Sequence Rosa Fragaria Deep Learning Genome, Plant Computational Biology DNA, Plant
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ECG Biometrics Using Deep Learning and Relative Score Threshold Classification.

Sensors (Basel, Switzerland) Jul 22, 2020
The field of biometrics is a pattern recognition problem, where the individual traits are coded, registered, and compared with other database records. Due to the difficulties in reproducing Electrocardiograms (ECG), their usage has been emerging in t...
Databases, Factual Deep Learning Electrocardiography Biometry Humans Neural Networks, Computer
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Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018.

Scientific reports Jul 22, 2020
Hand-foot-and-month disease (HFMD), especially the enterovirus A71 (EV-A71) subtype, is a major health problem in Beijing, China. Previous studies mainly used regressive models to forecast the prevalence of HFMD, ignoring its intrinsic age groups. Th...
Enterovirus A, Human Child, Preschool Child Models, Theoretical Seasons Beijing Hand, Foot and Mouth Disease Infant Disease Outbreaks Deep Learning Female Humans Infant, Newborn Databases, Factual Animals
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DCT-MIL: Deep CNN transferred multiple instance learning for COPD identification using CT images.

Physics in medicine and biology Jul 22, 2020
While many pre-defined computed tomographic (CT) measures have been utilized to characterize chronic obstructive pulmonary disease (COPD), it is still challenging to represent pathological alternations of multiple dimensions and highly spatial hetero...
Humans Deep Learning Tomography, X-Ray Computed Support Vector Machine Image Processing, Computer-Assisted Cluster Analysis Pulmonary Disease, Chronic Obstructive
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A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression.

Translational vision science & technology Jul 22, 2020
UNLABELLED: Because of recent advances in computing technology and the availability of large datasets, deep learning has risen to the forefront of artificial intelligence, with performances that often equal, or sometimes even exceed, those of human s...
Visual Field Tests Humans Glaucoma Diagnostic Techniques, Ophthalmological Artificial Intelligence Deep Learning
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Research of Epidemic Big Data Based on Improved Deep Convolutional Neural Network.

Computational and mathematical methods in medicine Jul 22, 2020
In recent years, with the acceleration of the aging process and the aggravation of life pressure, the proportion of chronic epidemics has gradually increased. A large amount of medical data will be generated during the hospitalization of diabetics. I...
Patient Readmission Deep Learning Humans Epidemics Big Data Diabetes Mellitus Neural Networks, Computer Algorithms
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Lightweight Learning-Based Automatic Segmentation of Subretinal Blebs on Microscope-Integrated Optical Coherence Tomography Images.

American journal of ophthalmology Jul 21, 2020
PURPOSE: Subretinal injections of therapeutics are commonly used to treat ocular diseases. Accurate dosing of therapeutics at target locations is crucial but difficult to achieve using subretinal injections due to leakage, and there is no method avai...
Algorithms Animals Models, Animal Swine Injections, Intraocular Ringer's Lactate Deep Learning Imaging, Three-Dimensional Subretinal Fluid ROC Curve Tomography, Optical Coherence Retina
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Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact-free and denoised images.

Magnetic resonance in medicine Jul 21, 2020
PURPOSE: To introduce a novel deep learning method for Robust and Accelerated Reconstruction (RoAR) of quantitative and B0-inhomogeneity-corrected maps from multi-gradient recalled echo (mGRE) MRI data.
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Artifacts
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Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.

European radiology Jul 21, 2020
OBJECTIVES: To develop and validate a deep learning model to discriminate transient from persistent subsolid nodules (SSNs) on baseline CT.
Radiology Radiologists Calibration Lung Neoplasms Solitary Pulmonary Nodule Area Under Curve Female Adult Reproducibility of Results Lung Male Humans Aged Deep Learning Middle Aged Image Processing, Computer-Assisted Retrospective Studies Tomography, X-Ray Computed
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