AIMC Topic: Humans
Showing 65061 to 65070 of 95995 articles
Prostate cancer detection using residual networks.
International journal of computer assisted radiology and surgery
Apr 10, 2019
PURPOSE: To automatically identify regions where prostate cancer is suspected on multi-parametric magnetic resonance images (mp-MRI).
Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Apr 10, 2019
We previously reported a system for assessing rejection in kidney transplant biopsies using microarray-based gene expression data, the Molecular Microscope Diagnostic System (MMDx). The present study was designed to optimize the accuracy and stabilit...
PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices.
Journal of neural engineering
Apr 10, 2019
OBJECTIVE: Intracellular patch-clamp electrophysiology, one of the most ubiquitous, high-fidelity techniques in biophysics, remains laborious and low-throughput. While previous efforts have succeeded at automating some steps of the technique, here we...
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
Computer methods and programs in biomedicine
Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
(1)
Support Vector Machine
Sensitivity and Specificity
Colonic Neoplasms
Models, Statistical
Colon
Decision Trees
Risk
Oncogenes
Regression Analysis
Gene Expression Profiling
Normal Distribution
Tissue Array Analysis
Area Under Curve
Logistic Models
Humans
Bayes Theorem
Neural Networks, Computer
Discriminant Analysis
Machine Learning
Will Favourable Functional Results with Salvage Robot-assisted Laparoscopic Radical Prostatectomy Increase the Uptake of Primary Focal Therapy for Localised Prostate Cancer?
European urology
Apr 10, 2019
Fast and reliable determination of Escherichia coli susceptibility to antibiotics: Infrared microscopy in tandem with machine learning algorithms.
Journal of biophotonics
Apr 10, 2019
Antimicrobial drugs have an important role in controlling bacterial infectious diseases. However, the increasing resistance of bacteria to antibiotics has become a global health care problem. Rapid determination of antimicrobial susceptibility of cli...
LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks.
Journal of biophotonics
Apr 10, 2019
Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morphology. Identification and analysis of leukocytes in blood smear images, acquired from bright field microscope, are vital for diagnosing many diseases...
Artificial intelligence and the future of endoscopy.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Apr 10, 2019
Differences in muscle activity and fatigue of the upper limb between Task-Specific training and robot assisted training among individuals post stroke.
Journal of biomechanics
Apr 10, 2019
OBJECTIVE: To compare the activity and fatigue of upper extremity muscles, pain levels, subject satisfaction levels, perceived exertion, and number of repetitions in Task-Specific Training (TST) compared with Robot-Assisted Training (RAT) in individu...
Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task.
European journal of cancer (Oxford, England : 1990)
Apr 10, 2019
BACKGROUND: Recent studies have successfully demonstrated the use of deep-learning algorithms for dermatologist-level classification of suspicious lesions by the use of excessive proprietary image databases and limited numbers of dermatologists. For ...
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