AIMC Topic: Neural Networks, Computer

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State-of-the-art review on deep learning in medical imaging.

Frontiers in bioscience (Landmark edition) Jan 1, 2019
Deep learning (DL) is affecting each and every sphere of public and private lives and becoming a tool for daily use. The power of DL lies in the fact that it tries to imitate the activities of neurons in the neocortex of human brain where the thought...
Neural Networks, Computer Machine Learning Algorithms Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Diagnostic Imaging Brain Tomography, X-Ray Computed Neoplasms
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Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 31, 2018
PURPOSE: To design a deep learning algorithm that automatically delineates lung tumors seen on weekly magnetic resonance imaging (MRI) scans acquired during radiotherapy and facilitates the analysis of geometric tumor changes.
Neural Networks, Computer Humans Algorithms Lung Neoplasms Image Processing, Computer-Assisted Longitudinal Studies Magnetic Resonance Imaging
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Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.

Computers in biology and medicine Dec 31, 2018
Maculopathy is a group of retinal disorders that affect macula and cause severe visual impairment if not treated in time. Many computer-aided diagnostic methods have been proposed over the past that automatically detect macular diseases. However, to ...
Image Interpretation, Computer-Assisted Humans Tomography, Optical Coherence Neural Networks, Computer Retina Macular Degeneration
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Convolutional neural network based on SMILES representation of compounds for detecting chemical motif.

BMC bioinformatics Dec 31, 2018
BACKGROUND: Previous studies have suggested deep learning to be a highly effective approach for screening lead compounds for new drugs. Several deep learning models have been developed by addressing the use of various kinds of fingerprints and graph ...
Humans Protein Binding Proteins DNA Neural Networks, Computer Software Deep Learning Models, Chemical Pharmaceutical Preparations Binding Sites
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Detection of bitterness and astringency of green tea with different taste by electronic nose and tongue.

PloS one Dec 31, 2018
An electronic nose was used to evaluate the bitterness and astringency of green tea, and the possible application of the sensor was assessed for the evaluation of different tasting green tea samples. Three different grades of green tea were measured ...
Neural Networks, Computer Tea Taste Electronic Nose
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Learning from data to predict future symptoms of oncology patients.

PloS one Dec 31, 2018
Effective symptom management is a critical component of cancer treatment. Computational tools that predict the course and severity of these symptoms have the potential to assist oncology clinicians to personalize the patient's treatment regimen more ...
Support Vector Machine Models, Psychological Neoplasms Anxiety Neural Networks, Computer Humans Depression Female Male
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Prediction of fatty liver disease using machine learning algorithms.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for preven...
Early Diagnosis ROC Curve Fatty Liver Electronic Health Records Taiwan Adult Machine Learning Humans Female Neural Networks, Computer Algorithms Aged Forecasting Male Middle Aged
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A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Prostate segmentation on Magnetic Resonance (MR) imaging is problematic because disease changes the shape and boundaries of the gland and it can be difficult to separate the prostate from surrounding tissues. We propose an a...
Prostate Humans Neural Networks, Computer Male Algorithms Deep Learning Magnetic Resonance Imaging
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Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network.

EBioMedicine Dec 29, 2018
BACKGROUND: Recently, innovative attempts have been made to identify moyamoya disease (MMD) by focusing on the morphological differences in the head of MMD patients. Following the recent revolution in the development of deep learning (DL) algorithms,...
Skull Moyamoya Disease Image Processing, Computer-Assisted Data Interpretation, Statistical Radiography Reproducibility of Results Young Adult Adult Machine Learning Male Algorithms Middle Aged Female ROC Curve Humans Neural Networks, Computer
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Model based on GA and DNN for prediction of mRNA-Smad7 expression regulated by miRNAs in breast cancer.

Theoretical biology & medical modelling Dec 29, 2018
BACKGROUND: The Smad7 protein is negative regulator of the TGF-β signaling pathway, which is upregulated in patients with breast cancer. miRNAs regulate proteins expressions by arresting or degrading the mRNAs. The purpose of this work is to identify...
Models, Biological Female Breast Neoplasms Smad7 Protein Deep Learning RNA, Messenger Gene Expression Regulation, Neoplastic MicroRNAs Humans Neural Networks, Computer Algorithms
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