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Showing 68781 to 68790 of 95995 articles
VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography.
Medical image analysis
Apr 23, 2018
Three-dimensional (3D) fetal neurosonography is used clinically to detect cerebral abnormalities and to assess growth in the developing brain. However, manual identification of key brain structures in 3D ultrasound images requires expertise to perfor...
Replicating human expertise of mechanical ventilation waveform analysis in detecting patient-ventilator cycling asynchrony using machine learning.
Computers in biology and medicine
Apr 23, 2018
BACKGROUND: - Acute respiratory failure is one of the most common problems encountered in intensive care units (ICU) and mechanical ventilation is the mainstay of supportive therapy for such patients. A mismatch between ventilator delivery and patien...
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.
International journal of computer assisted radiology and surgery
Apr 23, 2018
PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) is a recent imaging modality that allows performing in vivo optical biopsies. The design of pCLE hardware, and its reliance on an optical fibre bundle, fundamentally limits the image quality w...
Commentary on "Sexual function after robot-assisted prolapse surgery: a prospective study".
International urogynecology journal
Apr 23, 2018
Automated Detection of Obstructive Sleep Apnea Events from a Single-Lead Electrocardiogram Using a Convolutional Neural Network.
Journal of medical systems
Apr 23, 2018
In this study, we propose a method for the automated detection of obstructive sleep apnea (OSA) from a single-lead electrocardiogram (ECG) using a convolutional neural network (CNN). A CNN model was designed with six optimized convolution layers incl...
Computational mechanisms underlying cortical responses to the affordance properties of visual scenes.
PLoS computational biology
Apr 23, 2018
Biologically inspired deep convolutional neural networks (CNNs), trained for computer vision tasks, have been found to predict cortical responses with remarkable accuracy. However, the internal operations of these models remain poorly understood, and...
Unsupervised versus Supervised Identification of Prognostic Factors in Patients with Localized Retroperitoneal Sarcoma: A Data Clustering and Mahalanobis Distance Approach.
BioMed research international
Apr 23, 2018
The aim of this report is to unveil specific prognostic factors for retroperitoneal sarcoma (RPS) patients by univariate and multivariate statistical techniques. A phase I-II study on localized RPS treated with high-dose ifosfamide and radiotherapy f...
Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm.
PloS one
Apr 23, 2018
Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. In this paper, a Malay sentiment analysis c...
Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Apr 22, 2018
Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the future, as opposed to making a diagnosis, which is concerned with the current state. During the follow-up period, many factors will influence the course of...
A morphometric signature of depressive symptoms in unmedicated patients with mood disorders.
Acta psychiatrica Scandinavica
Apr 22, 2018
OBJECTIVE: A growing literature indicates that unipolar depression and bipolar depression are associated with alterations in grey matter volume. However, it is unclear to what degree these patterns of morphometric change reflect symptom dimensions. H...
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