AIMC Topic: Humans
Showing 65211 to 65220 of 95995 articles
Seq2seq Fingerprint with Byte-Pair Encoding for Predicting Changes in Protein Stability upon Single Point Mutation.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 1, 2019
The engineering of stable proteins is crucial for various industrial purposes. Several machine learning methods have been developed to predict changes in the stability of proteins corresponding to single point mutations. To improve the prediction acc...
Automatic Tracking of Muscle Cross-Sectional Area Using Convolutional Neural Networks with Ultrasound.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Apr 1, 2019
OBJECTIVES: The purpose of this study was to develop an automatic tracking method for the muscle cross-sectional area (CSA) on ultrasound (US) images using a convolutional neural network (CNN). The performance of the proposed method was evaluated and...
Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.
European radiology
Apr 1, 2019
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). Hip fracture is a leading worldwide health problem for the elde...
Feasibility Studies
Hip Fractures
False Negative Reactions
Radiography, Abdominal
Deep Learning
ROC Curve
Radiographic Image Interpretation, Computer-Assisted
Aged
Aged, 80 and over
Young Adult
Algorithms
Male
Humans
Adult
Prognosis
Middle Aged
Neural Networks, Computer
Sensitivity and Specificity
Female
Semi-supervised deep learning of brain tissue segmentation.
Neural networks : the official journal of the International Neural Network Society
Apr 1, 2019
Brain image segmentation is of great importance not only for clinical use but also for neuroscience research. Recent developments in deep neural networks (DNNs) have led to the application of DNNs to brain image segmentation, which required extensive...
Application of Single-Nucleotide Polymorphisms in the Diagnosis of Autism Spectrum Disorders: A Preliminary Study with Artificial Neural Networks.
Journal of molecular neuroscience : MN
Apr 1, 2019
Autism spectrum disorder (ASD) includes different neurodevelopmental disorders characterized by deficits in social communication, and restricted, repetitive patterns of behavior, interests or activities. Based on the importance of early diagnosis for...
Chinese Clinical Named Entity Recognition Using Residual Dilated Convolutional Neural Network With Conditional Random Field.
IEEE transactions on nanobioscience
Apr 1, 2019
Clinical named entity recognition (CNER) is a fundamental and crucial task for clinical and translation research. In recent years, deep learning methods have achieved significant success in CNER tasks. However, these methods depend greatly on recurre...
Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning.
Journal of biophotonics
Apr 1, 2019
In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial for determining prognosis and treatment strategy decisions. However, a label-free and automated classification system for HCC grading has not been yet...
BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.
International journal of medical informatics
Apr 1, 2019
BACKGROUND AND OBJECTIVE: The condition of vessel of the human eye is an important factor for the diagnosis of ophthalmological diseases. Vessel segmentation in fundus images is a challenging task due to complex vessel structure, the presence of simi...
Use of a molecular classifier to identify usual interstitial pneumonia in conventional transbronchial lung biopsy samples: a prospective validation study.
The Lancet. Respiratory medicine
Apr 1, 2019
BACKGROUND: In the appropriate clinical setting, the diagnosis of idiopathic pulmonary fibrosis (IPF) requires a pattern of usual interstitial pneumonia to be present on high-resolution chest CT (HRCT) or surgical lung biopsy. A molecular usual inter...
DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal.
Journal of neuroscience methods
Apr 1, 2019
BACKGROUND: Electroencephalography (EEG) monitors brain activity during sleep and is used to identify sleep disorders. In sleep medicine, clinicians interpret raw EEG signals in so-called sleep stages, which are assigned by experts to every 30s windo...
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