A Review of Intraoperative Surgeries Error Evaluation Methodologies

2019 ◽  
Author(s):  
Mina Mobini ◽  
Parisa Naraei
Keyword(s):  
Error Evaluation ◽  
Evaluation Methodologies

The minimum zone fitting and error evaluation for the logarithmic curve based on geometry optimization approximation algorithm

2019 ◽  
Vol 41 (15) ◽  
pp. 4380-4386
Author(s):  
Tu Xianping ◽  
Lei Xianqing ◽  
Ma Wensuo ◽  
Wang Xiaoyi ◽  
Hu Luqing ◽  
...  
Keyword(s):  
Approximation Algorithm ◽  
Evaluation Method ◽  
Geometry Optimization ◽  
Reference Points ◽  
Approximation Technique ◽  
Error Evaluation ◽  
Iterative Approximation ◽  
Logarithmic Curve ◽  
Normal Distance ◽  
Minimum Zone

The minimum zone fitting and error evaluation for the logarithmic curve has important applications. Based on geometry optimization approximation algorithm whilst considering geometric characteristics of logarithmic curves, a new fitting and error evaluation method for the logarithmic curve is presented. To this end, two feature points, to serve as reference, are chosen either from those located on the least squares logarithmic curve or from amongst measurement points. Four auxiliary points surrounding each of the two reference points are then arranged to resemble vertices of a square. Subsequently, based on these auxiliary points, a series of auxiliary logarithmic curves (16 curves) are constructed, and the normal distance and corresponding range of values between each measurement point and all auxiliary logarithmic curves are calculated. Finally, by means of an iterative approximation technique consisting of comparing, evaluating, and changing reference points; determining new auxiliary points; and constructing corresponding auxiliary logarithmic curves, minimum zone fitting and evaluation of logarithmic curve profile errors are implemented. The example results show that the logarithmic curve can be fitted, and its profile error can be evaluated effectively and precisely using the presented method.

scholarly journals Diagnostic tools for neurosyphilis: a systematic review

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Gustavo Henrique Pereira Boog ◽  
João Vitor Ziroldo Lopes ◽  
João Vitor Mahler ◽  
Marina Solti ◽  
Lucas Tokio Kawahara ◽  
...  
Keyword(s):  
New Technologies ◽  
Clinical Suspicion ◽  
Risk Of Bias ◽  
Diagnostic Methods ◽  
Diagnostic Tools ◽  
Test Accuracy ◽  
Cerebrospinal Fluid Analysis ◽  
Evaluation Methodologies ◽  
Fluid Analysis ◽  
Criteria For Diagnosis

Abstract Purpose Increasing incidences of syphilis highlight the preoccupation with the occurrence of neurosyphilis. This study aimed to understand the current diagnostic tools and their performance to detect neurosyphilis, including new technologies and the variety of existing methods. Methods We searched databases to select articles that reported neurosyphilis diagnostic methods and assessed their accuracy, presenting sensitivity and specificity values. Information was synthesized in tables. The risk of bias was examined using the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy recommendations. Results Fourteen studies were included. The main finding was a remarkable diversity of tests, which had varied purposes, techniques, and evaluation methodologies. There was no uniform criterion or gold standard to define neurosyphilis. The current basis for its diagnosis is clinical suspicion and cerebrospinal fluid analysis. There are new promising tests such as PCR tests and chemokine measurement assays. Conclusions The diagnosis of neurosyphilis is still a challenge, despite the variety of existing and developing tests. We believe that the multiplicity of reference standards adopted as criteria for diagnosis reveals the imprecision of the current definitions of neurosyphilis. An important next step for the scientific community is to create a universally accepted diagnostic definition for this disease.

Non-Contact Online Detection of Concentricity Error

2015 ◽  
Vol 733 ◽  
pp. 611-614
Author(s):  
Hong Zheng
Keyword(s):  
Measurement System ◽  
Three Dimensional ◽  
Error Evaluation ◽  
Dimensional Model ◽  
Online Detection ◽  
Three Dimensional Model ◽  
Geometric Tolerance ◽  
Structural Principle ◽  
Circularity Error ◽  
Cylindricity Error

This paper researches on the non-contact online detection of concentricity error, which mainly focus on the structural principle of the measurement system and the concentricity error evaluation methods. The paper using the method of projection, converting the three-dimensional model to a two-dimensional model and evaluating coaxially error. And it is validated by the simulation of MATLAB. In theory, the proposed measurement system can measure geometric tolerance, including coaxially error, cylindricity error, circularity error, etc.

scholarly journals A dose error evaluation study for 4D dose calculations

2014 ◽  
Vol 59 (21) ◽  
pp. 6401-6415 ◽  
Author(s):  
Stefan Milz ◽  
Jan J Wilkens ◽  
Wolfgang Ullrich
Keyword(s):  
Evaluation Study ◽  
Dose Error ◽  
Dose Calculations ◽  
Error Evaluation
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