AIMC Topic:
Prostatic Neoplasms
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Convolutional neural networks for classification of alignments of non-coding RNA sequences.
Bioinformatics (Oxford, England)
Jul 1, 2018
MOTIVATION: The convolutional neural network (CNN) has been applied to the classification problem of DNA sequences, with the additional purpose of motif discovery. The training of CNNs with distributed representations of four nucleotides has successf...
[Prediction of three-dimensional dose distribution in intensity-modulated radiation therapy based on neural network learning].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Jun 20, 2018
OBJECTIVE: To establish the association between the geometric anatomical characteristics of the patients and the corresponding three-dimensional (3D) dose distribution of radiotherapy plan via feed-forward back-propagation neural network for clinical...
Effect of intraoperative mannitol administration on acute kidney injury after robot-assisted laparoscopic radical prostatectomy: A propensity score matching analysis.
Medicine
Jun 1, 2018
Mannitol, an osmotic diuretic, has been used to prevent acute kidney injury (AKI). However, studies have found divergent effects of intraoperative mannitol administration on postoperative AKI. We therefore evaluated the effects of intraoperative mann...
Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.
IEEE transactions on medical imaging
May 1, 2018
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods typically employ several separate steps, each of which is optimized individua...
Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration.
IEEE transactions on medical imaging
Apr 1, 2018
Robust and effective shape prior modeling from a set of training data remains a challenging task, since the shape variation is complicated, and shape models should preserve local details as well as handle shape noises. To address these challenges, a ...
To drain or not to drain after robot-assisted radical prostatectomy? That is the question.
BJU international
Mar 1, 2018
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies.
Cancer biomarkers : section A of Disease markers
Feb 6, 2018
Prostate is a second leading causes of cancer deaths among men. Early detection of cancer can effectively reduce the rate of mortality caused by Prostate cancer. Due to high and multiresolution of MRIs from prostate cancer require a proper diagnostic...
Robotics in MRI-Guided Interventions.
Topics in magnetic resonance imaging : TMRI
Feb 1, 2018
Robots have been found to be a useful tool in magnetic resonance imaging (MRI)-guided intervention. The utility of robots in MRI-guided therapy ranges from aid for precision targeting to high-dexterity surgical tools to improve or even enable new MRI...
How AI Is Optimizing the Detection and Management of Prostate Cancer.
IEEE pulse
Jan 1, 2018
Annually, approximately 20 million men are prostate-specific-antigen screened, and 1.3 million undergo an invasive biopsy to diagnose roughly 200,000 new cases, 50% of which end up being indolent. Approximately 30,000 men die of prostate cancer (PCa)...
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