AIMC Topic: Deep Learning

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Four Major South Korea's Rivers Using Deep Learning Models.

International journal of environmental research and public health Jun 24, 2018
Harmful algal blooms are an annual phenomenon that cause environmental damage, economic losses, and disease outbreaks. A fundamental solution to this problem is still lacking, thus, the best option for counteracting the effects of algal blooms is to ...
Harmful Algal Bloom Water Quality Rivers Deep Learning Models, Biological Republic of Korea
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Towards intelligent robust detection of anatomical structures in incomplete volumetric data.

Medical image analysis Jun 23, 2018
Robust and fast detection of anatomical structures represents an important component of medical image analysis technologies. Current solutions for anatomy detection are based on machine learning, and are generally driven by suboptimal and exhaustive ...
Image Processing, Computer-Assisted Anatomic Landmarks Deep Learning Humans Imaging, Three-Dimensional Algorithms Tomography, X-Ray Computed
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Artificial Intelligence and Machine Learning: Opportunities for Radiologists in Training.

Journal of the American College of Radiology : JACR Jun 22, 2018
Artificial Intelligence Machine Learning Radiologists Deep Learning Humans
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A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data.

BMC medical informatics and decision making Jun 22, 2018
BACKGROUND: Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured data, such as complex healthca...
Female Aged Aged, 80 and over Retrospective Studies Electronic Health Records Humans Models, Theoretical Prognosis Middle Aged Heart Failure Male Deep Learning Patient Readmission
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Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks.

Drug discovery today Jun 21, 2018
Drug Discovery Deep Learning Pharmaceutical Preparations Neural Networks, Computer Algorithms Ligands Quantitative Structure-Activity Relationship Humans
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Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Scientific reports Jun 21, 2018
Black-blood (BB) imaging is used to complement contrast-enhanced 3D gradient-echo (CE 3D-GRE) imaging for detecting brain metastases, requiring additional scan time. In this study, we proposed deep-learned 3D BB imaging with an auto-labelling techniq...
Humans Female Aged Imaging, Three-Dimensional Magnetic Resonance Imaging Middle Aged Male Sensitivity and Specificity Blood Vessels Brain Neoplasms Deep Learning
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Deep Learning for Plant Species Classification Using Leaf Vein Morphometric.

IEEE/ACM transactions on computational biology and bioinformatics Jun 19, 2018
An automated plant species identification system could help botanists and layman in identifying plant species rapidly. Deep learning is robust for feature extraction as it is superior in providing deeper information of images. In this research, a new...
Computational Biology Support Vector Machine Plant Leaves Deep Learning Image Processing, Computer-Assisted Algorithms Bayes Theorem Plants
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A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.

International journal of medical informatics Jun 18, 2018
A computer-aided diagnosis (CAD) system requires detection, segmentation, and classification in one framework to assist radiologists efficiently in an accurate diagnosis. In this paper, a completely integrated CAD system is proposed to screen digital...
Diagnosis, Computer-Assisted Machine Learning Humans Female Deep Learning Mammography Radiographic Image Enhancement Neural Networks, Computer Breast Neoplasms
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Visualizing convolutional neural network protein-ligand scoring.

Journal of molecular graphics & modelling Jun 18, 2018
Protein-ligand scoring is an important step in a structure-based drug design pipeline. Selecting a correct binding pose and predicting the binding affinity of a protein-ligand complex enables effective virtual screening. Machine learning techniques c...
Ligands Molecular Conformation Models, Molecular Neural Networks, Computer Protein Binding Algorithms ROC Curve Proteins Deep Learning
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3D freehand ultrasound without external tracking using deep learning.

Medical image analysis Jun 15, 2018
This work aims at creating 3D freehand ultrasound reconstructions from 2D probes with image-based tracking, therefore not requiring expensive or cumbersome external tracking hardware. Existing model-based approaches such as speckle decorrelation only...
Deep Learning Ultrasonography Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Humans Algorithms
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