AIMC Topic: Humans

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A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods.

Magnetic resonance imaging May 17, 2019
In this paper, we present a new multi-objective optimization approach for segmentation of Magnetic Resonance Imaging (MRI) of the human brain. The proposed algorithm not only takes advantages but also solves major drawbacks of two well-known compleme...
Algorithms Brain Computer Simulation Humans Cluster Analysis Brain Mapping Entropy Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic
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Biocompatible propulsion for biomedical micro/nano robotics.

Biosensors & bioelectronics May 17, 2019
Micro/Nano robots have shown enormous potential for diverse biomedical applications, such as targeted delivery, in vivo biosensing, minimally invasive surgery and cell manipulation through extending their area of operation to various previously inacc...
Motion Nanostructures Nanotechnology Biosensing Techniques Robotics Humans Drug Delivery Systems
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Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles.

Computer methods and programs in biomedicine May 17, 2019
BACKGROUND AND OBJECTIVES: Clathrin is an adaptor protein that serves as the principal element of the vesicle-coating complex and is important for the membrane cleavage to dispense the invaginated vesicle from the plasma membrane. The functional loss...
Deep Learning Cell Membrane Clathrin Algorithms Humans Position-Specific Scoring Matrices Reproducibility of Results Neural Networks, Computer Sensitivity and Specificity Software
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Brain tumor detection using statistical and machine learning method.

Computer methods and programs in biomedicine May 17, 2019
BACKGROUND AND OBJECTIVE: Brain tumor occurs because of anomalous development of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths can be prevented through early detection of brain tumor. Earlier brain tumo...
ROC Curve Image Processing, Computer-Assisted Glioma Brain Reproducibility of Results Magnetic Resonance Imaging Machine Learning Area Under Curve Humans Brain Neoplasms Models, Statistical Pattern Recognition, Automated Bayes Theorem Algorithms Decision Trees Wavelet Analysis
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Detection of respiratory rate using a classifier of waves in the signal from a FBG-based vital signs sensor.

Computer methods and programs in biomedicine May 17, 2019
BACKGROUND AND OBJECTIVE: Monitoring of changes in respiratory rate provides information on a patient's psychophysical state. This paper presents a respiratory rate detection method based on analysis of signals from a fiber Bragg grating (FBG)-based ...
Adult Male Middle Aged Discriminant Analysis Equipment Design Magnetic Resonance Imaging Monitoring, Physiologic Female Reproducibility of Results Young Adult Humans Machine Learning Algorithms Heart Rate Electronic Data Processing Respiratory Rate
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The Pelvis-First Approach for Robotic Proctectomy in Patients with Redundant Abdominal Colon.

Annals of surgical oncology May 17, 2019
BACKGROUND: Robotic surgery is increasingly performed for low rectal cancer.1 A redundant sigmoid colon makes retraction and pelvic dissection challenging. We present a 'pelvis-first' approach to robotic proctectomy where pelvic dissection occurs pri...
Humans Rectal Neoplasms Pelvic Floor Proctectomy Colon Prognosis Adenocarcinoma Female Robotics Adult
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Slice interpolation of medical images using enhanced fuzzy radial basis function neural networks.

Computers in biology and medicine May 17, 2019
Volume data composed of complete slice images play an indispensable role in medical diagnoses. However, system or human factors often lead to the loss of slice images. In recent years, various interpolation algorithms have been proposed to solve thes...
Models, Theoretical Magnetic Resonance Imaging Fuzzy Logic Humans Neural Networks, Computer Algorithms
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Cancer taxonomy: pathology beyond pathology.

European journal of cancer (Oxford, England : 1990) May 17, 2019
The way we categorise and classify cancer types dictates not only the way we diagnose and treat patients but also many of our decisions on biomarker and drug development. In addition, cancer taxonomy proves the ground truth for future discoveries in ...
Observer Variation Classification Neoplasms Diagnosis, Computer-Assisted Predictive Value of Tests Microscopy Image Interpretation, Computer-Assisted Biopsy Pathologists Humans Artificial Intelligence Reproducibility of Results
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Learning Single-Cell Distances from Cytometry Data.

Cytometry. Part A : the journal of the International Society for Analytical Cytology May 17, 2019
Recent years have seen an increased interest in employing data analysis techniques for the automated identification of cell populations in the field of cytometry. These techniques highly depend on the use of a distance metric, a function that quantif...
Microbiota Pattern Recognition, Automated Blood Cells Bacteria Cluster Analysis Algorithms Flow Cytometry Single-Cell Analysis Humans Machine Learning
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Enhancing Acute Oral Toxicity Predictions by using Consensus Modeling and Algebraic Form-Based 0D-to-2D Molecular Encodes.

Chemical research in toxicology May 17, 2019
Quantitative structure-activity relationships (QSAR) are introduced to predict acute oral toxicity (AOT), by using the QuBiLS-MAS (acronym for quadratic, bilinear and N-Linear maps based on graph-theoretic electronic-density matrices and atomic weigh...
Cluster Analysis Administration, Oral Quantitative Structure-Activity Relationship Toxicity Tests, Acute Humans Animals Support Vector Machine
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