AIMC Topic: Deep Learning

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Progressive multifocal leukoencephalopathy lesion and brain parenchymal segmentation from MRI using serial deep convolutional neural networks.

NeuroImage. Clinical Nov 11, 2020
Progressive multifocal leukoencephalopathy (PML) is a rare opportunistic brain infection caused by the JC virus and associated with substantial morbidity and mortality. Accurate MRI assessment of PML lesion burden and brain parenchymal atrophy is of ...
Magnetic Resonance Imaging Humans Leukoencephalopathy, Progressive Multifocal Neural Networks, Computer Brain Deep Learning Image Processing, Computer-Assisted
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Clinical application of an automatic facial recognition system based on deep learning for diagnosis of Turner syndrome.

Endocrine Nov 10, 2020
PURPOSE: Automated facial recognition technology based on deep learning has achieved high accuracy in diagnosing various endocrine diseases and genetic syndromes. This study attempts to establish a facial diagnostic system for Turner syndrome (TS) ba...
Turner Syndrome Female Deep Learning Humans Facial Recognition Neural Networks, Computer Prospective Studies
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Efficient architecture for deep neural networks with heterogeneous sensitivity.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2020
In this study, we present a neural network that consists of nodes with heterogeneous sensitivity. Each node in a network is assigned a variable that determines the sensitivity with which it learns to perform a given task. The network is trained via a...
Humans Neural Networks, Computer Databases, Factual Deep Learning
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A Prospective Validation and Observer Performance Study of a Deep Learning Algorithm for Pathologic Diagnosis of Gastric Tumors in Endoscopic Biopsies.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 10, 2020
PURPOSE: Gastric cancer remains the leading cause of cancer-related deaths in Northeast Asia. Population-based endoscopic screenings in the region have yielded successful results in early detection of gastric tumors. Endoscopic screening rates are co...
Prospective Studies Retrospective Studies Female Humans Stomach Neoplasms Sensitivity and Specificity Male Aged Aged, 80 and over Adult Observer Variation Gastroscopy Gastric Mucosa Feasibility Studies Middle Aged Pathologists Deep Learning Image Interpretation, Computer-Assisted Biopsy
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FMixCutMatch for semi-supervised deep learning.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2020
Mixed sample augmentation (MSA) has witnessed great success in the research area of semi-supervised learning (SSL) and is performed by mixing two training samples as an augmentation strategy to effectively smooth the training space. Following the ins...
Electronic Data Processing Entropy Databases, Factual Deep Learning Supervised Machine Learning
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A 3D-2D Hybrid U-Net Convolutional Neural Network Approach to Prostate Organ Segmentation of Multiparametric MRI.

AJR. American journal of roentgenology Nov 10, 2020
OBJECTIVE: Prostate cancer is the most commonly diagnosed cancer in men in the United States with more than 200,000 new cases in 2018. Multiparametric MRI (mpMRI) is increasingly used for prostate cancer evaluation. Prostate organ segmentation is an ...
Humans Retrospective Studies Prostatic Neoplasms Image-Guided Biopsy Male Multiparametric Magnetic Resonance Imaging Deep Learning Imaging, Three-Dimensional
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Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.

EBioMedicine Nov 10, 2020
BACKGROUND: Diagnosis of rib fractures plays an important role in identifying trauma severity. However, quickly and precisely identifying the rib fractures in a large number of CT images with increasing number of patients is a tough task, which is al...
Deep Learning ROC Curve Image Processing, Computer-Assisted Humans Rib Fractures Tomography, X-Ray Computed Neural Networks, Computer Reproducibility of Results Software Algorithms
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Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values.

EBioMedicine Nov 10, 2020
BACKGROUND: Sepsis is a heterogenous syndrome and individualized management strategy is the key to successful treatment. Genome wide expression profiling has been utilized for identifying subclasses of sepsis, but the clinical utility of these subcla...
Predictive Value of Tests Disease Susceptibility Transcriptome Deep Learning Sepsis ROC Curve Computational Biology Cluster Analysis Female Male Gene Expression Profiling Biomarkers Prognosis Humans Algorithms
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Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates.

Biomolecules Nov 10, 2020
This study considers the use of deep learning to diagnose osteoporosis from hip radiographs, and whether adding clinical data improves diagnostic performance over the image mode alone. For objective labeling, we collected a dataset containing 1131 im...
Osteoporosis Female Aged Aged, 80 and over Male Humans Radiography Middle Aged Neural Networks, Computer Hip Bone Density Deep Learning ROC Curve Predictive Value of Tests
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Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records.

International journal of environmental research and public health Nov 10, 2020
Electronic health record (EHR) data are widely used to perform early diagnoses and create treatment plans, which are key areas of research. We aimed to increase the efficiency of iteratively applying data-intensive technology and verifying the result...
Computer Simulation Electronic Health Records Humans Big Data Deep Learning
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