AIMC Topic: Humans
Showing 64681 to 64690 of 95995 articles
Attention-Based Multi-NMF Deep Neural Network with Multimodality Data for Breast Cancer Prognosis Model.
BioMed research international
May 13, 2019
Today, it has become a hot issue in cancer research to make precise prognostic prediction for breast cancer patients, which can not only effectively avoid overtreatment and medical resources waste, but also provide scientific basis to help medical st...
Automated summarisation of SDOCT volumes using deep learning: Transfer learning vs de novo trained networks.
PloS one
May 13, 2019
Spectral-domain optical coherence tomography (SDOCT) is a non-invasive imaging modality that generates high-resolution volumetric images. This modality finds widespread usage in ophthalmology for the diagnosis and management of various ocular conditi...
Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning.
International journal of medical informatics
May 12, 2019
BACKGROUND AND OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous disorder. Research has explored potential ASD subgroups with preliminary evidence supporting the existence of behaviorally and genetically distinct subgroups; however, resear...
Recovery of pad-free continence in elderly men does not differ from younger men undergoing robot-assisted radical prostatectomy for aggressive prostate cancer.
World journal of urology
May 11, 2019
PURPOSE: To analyze urinary continence outcome following robot-assisted radical prostatectomy (RARP) for aggressive prostate cancer in men aged ≥ 70 and < 70 years.
A novel patch-based procedure for estimating brain age across adulthood.
NeuroImage
May 11, 2019
Aging is associated with structural alterations in many regions of the brain. Monitoring these changes contributes to increasing our understanding of the brain's morphological alterations across its lifespan, and could allow the identification of dep...
A semi-blind online dictionary learning approach for fMRI data.
Journal of neuroscience methods
May 11, 2019
BACKGROUND: Online dictionary learning (ODL) has been applied to extract brain networks from functional magnetic resonance imaging (fMRI) data in recent year. Moreover, the supervised dictionary learning (SDL) that fixed the task stimulus curves as p...
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
Computer methods and programs in biomedicine
May 11, 2019
BACKGROUND AND OBJECTIVE: Magnetic resonance imaging (MRI) is an indispensable tool in diagnosing brain-tumor patients. Automated tumor segmentation is being widely researched to accelerate the MRI analysis and allow clinicians to precisely plan trea...
Artificial Intelligence based facial recognition for Mood Charting among men on life style modification and it's correlation with cortisol.
Asian journal of psychiatry
May 11, 2019
UNLABELLED: Today, clinicians and researchers believe that mood disorders in children and adolescents remain one of the most under diagnosed mental health problems. Mood disorders in adolescents also put them at risk for other conditions that may per...
A distant supervision based approach to medical persona classification.
Journal of biomedical informatics
May 11, 2019
Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilance and patient recruitment. Medical persona classification aims to computationally model the medical persona associated with a social media post. We p...
The Utility of Applying Various Image Preprocessing Strategies to Reduce the Ambiguity in Deep Learning-based Clinical Image Diagnosis.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
May 10, 2019
PURPOSE: A general problem of machine-learning algorithms based on the convolutional neural network (CNN) technique is that the reason for the output judgement is unclear. The purpose of this study was to introduce a strategy that may facilitate bett...
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