AIMC Topic: Deep Learning

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Comparison of medical image classification accuracy among three machine learning methods.

Journal of X-ray science and technology Jan 1, 2018
BACKGROUND: Low-quality medical images may influence the accuracy of the machine learning process.
Deep Learning Support Vector Machine Diagnostic Imaging Machine Learning Image Processing, Computer-Assisted Databases, Factual Humans Neural Networks, Computer
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Deep Forest-based Prediction of Protein Subcellular Localization.

Current gene therapy Jan 1, 2018
MOTIVATION: Knowledge of the correct protein subcellular localization is necessary for understanding the function of a protein and revealing the mechanism of many human diseases due to protein subcellular mislocalization, which is required before app...
Genetic Therapy Humans Reproducibility of Results Neural Networks, Computer Deep Learning Proteins Intracellular Space Algorithms Protein Transport Computational Biology
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Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis.

Quintessence international (Berlin, Germany : 1985) Jan 1, 2018
Deep Learning Dental Care Diagnosis, Oral Artificial Intelligence Machine Learning Humans
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Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes.

Assay and drug development technologies Jan 1, 2018
Deep convolutional neural networks show outstanding performance in image-based phenotype classification given that all existing phenotypes are presented during the training of the network. However, in real-world high-content screening (HCS) experimen...
Neural Networks, Computer Bayes Theorem High-Throughput Screening Assays Monte Carlo Method Phenotype Deep Learning
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Machine Learning Methods in Computational Toxicology.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both "handcrafted" and "data-driven," are considered in the context of ...
Toxicology Neural Networks, Computer Quantitative Structure-Activity Relationship Machine Learning Support Vector Machine Algorithms Computer Simulation Linear Models Deep Learning
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Editorial: Breaking the Discovery Impasse (Part 2): Deep Learning New Tricks from Old Data.

Combinatorial chemistry & high throughput screening Jan 1, 2018
Data Analysis Animals Databases as Topic Deep Learning Humans
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Deep Learning Role in Early Diagnosis of Prostate Cancer.

Technology in cancer research & treatment Jan 1, 2018
The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted ma...
ROC Curve Early Detection of Cancer Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Prostatic Neoplasms Sensitivity and Specificity Male Deep Learning Humans Algorithms Reproducibility of Results
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Editorial: Breaking the Discovery Impasse (part 1): A Case for Deep Learning.

Combinatorial chemistry & high throughput screening Jan 1, 2018
Deep Learning Humans Drug Discovery
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A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis.

Journal of the Royal Society, Interface Jan 1, 2018
Structural finite-element analysis (FEA) has been widely used to study the biomechanics of human tissues and organs, as well as tissue-medical device interactions, and treatment strategies. However, patient-specific FEA models usually require complex...
Humans Computer Simulation Aorta Finite Element Analysis Models, Cardiovascular Deep Learning Stress, Mechanical
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Deep Learning-Based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients.

Ear and hearing Jan 1, 2018
OBJECTIVE: We investigate the clinical effectiveness of a novel deep learning-based noise reduction (NR) approach under noisy conditions with challenging noise types at low signal to noise ratio (SNR) levels for Mandarin-speaking cochlear implant (CI...
Middle Aged Cochlear Implants Cochlear Implantation Deep Learning Speech Perception Deafness Adult Young Adult Child Noise Humans Male Signal-To-Noise Ratio Female
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